commit 248e637f559b7853b3e146d2d50f9abfaa937476 Author: Ki-Ho Lee Date: Wed Aug 26 22:02:59 2026 +0900 Code and stored results for the IEEE Communications Letters submission Semantic Multiplexing Gain in Wireless Systems via Expanded Embeddings: A BERT Case Study. Includes the shared library, all experiment scripts (training with and without SNR-aware MAML, the token-domain comparison, the K sweep, and DistilBERT), the replot script that regenerates every figure from the stored results, the supplementary probe-versus-cosine analysis, and the raw results behind every figure in the letter. diff --git a/README.md b/README.md new file mode 100755 index 0000000..a6f7195 --- /dev/null +++ b/README.md @@ -0,0 +1,81 @@ +# Semantic Multiplexing Gain in Wireless Systems via Expanded Embeddings: A BERT Case Study + +Code, stored results, and supplementary material for the IEEE +Communications Letters submission by Ki-Ho Lee, Hyun-Ho Choi, and +Jung-Ryun Lee. + +Multiple users share one expanded embedding block of dimension +`d_s = K * d_b`: each user's frozen BERT sentence embedding is projected +into the shared space, superimposed through learnable masks, and +demultiplexed by user-wise attention. All reported transceivers are +trained with SNR-aware MAML; the training without MAML of the earlier +JSAC paper is included as a prior-art reference. + +## Files + +| File | Purpose | +|---|---| +| `bert_semcom.py` | Shared library: BERT extractor, transceiver model, channel, MAML helpers | +| `cl_experiments.py` | Held-out split, joint-trained configurations, ToDMA token-domain benchmark, linear probe, latency | +| `cl_maml_all.py` | SNR-aware MAML training for every reported configuration (including the conventional orthogonal scheme) | +| `cl_maml_extra.py` | MAML K sweep (K = 1, 2, 8) and DistilBERT replication | +| `replot_cl.py` | Regenerates Figs. 2 and 3 of the letter from the stored JSON results | +| `probe_vs_cosine.py` | Supplementary probe-accuracy-versus-cosine-similarity analysis | +| `fig_cl/*.json`, `fig_cl/*.csv` | Stored raw results behind every figure and quoted number | + +## Reproducing + +Requirements: Python 3.10+, PyTorch (CUDA), `transformers`, `datasets`, +`matplotlib`, `numpy`. AG News loads from the Hugging Face hub +(`fancyzhx/ag_news` fallback included). + +```bash +python cl_experiments.py --save-dir fig_cl # joint runs + ToDMA benchmark (~3 h on a laptop GPU) +python cl_maml_all.py --save-dir fig_cl # MAML runs (~9 h) +python cl_maml_extra.py --save-dir fig_cl # MAML K sweep + DistilBERT (~6 h) +python replot_cl.py # Figs. 2 and 3 from stored results +python probe_vs_cosine.py # supplementary analysis below +``` + +All experiments fix their random seeds (training seed 42, evaluation +seed 123, ToDMA seed 7) and evaluate on a held-out test split of 2,000 +AG News sentences disjoint from the 8,000-sentence training pool. +`replot_cl.py` and `probe_vs_cosine.py` read only the stored results, +so every figure is regenerable without rerunning the experiments. + +## Figures of the letter + +**Fig. 2 - per-user cosine similarity vs. SNR** (proposed scheme for +U = 1..4 at K = 4, the conventional orthogonal scheme, the +matched-budget schemes, and the joint training of the earlier JSAC +paper, all on the held-out test set): + +![Fig. 2](fig_cl/cl_fig_mux.png) + +**Fig. 3 - aggregate fidelity across load** (SNR-aware MAML vs. joint +training at 20 dB, with the fully loaded orthogonal reference): + +![Fig. 3](fig_cl/cl_fig_agg.png) + +## Supplementary: probe accuracy vs. cosine similarity + +The letter measures semantic fidelity by the cosine similarity of the +recovered embeddings and corroborates it with a downstream perception +metric: the AG News topic accuracy of a linear probe trained on clean +training-pool embeddings and applied to the recovered test embeddings +(clean reference about 0.855, sampling error about +/-0.01). + +Across 7 schemes x 7 SNRs (49 operating points), probe accuracy tracks +cosine similarity with a Pearson correlation of **r = 0.903**: + +![Probe accuracy vs. cosine similarity](fig_cl/probe_vs_cosine.png) + +Two readings follow. First, the low-SNR advantage of the analog +embedding schemes over the token-domain scheme appears in both metrics +(for example 0.848 vs. 0.772 in CosSim and 0.805 vs. 0.762 in accuracy +at 5 dB). Second, schemes within about 0.01 of each other in CosSim +differ in accuracy only on the order of the sampling error, so the +cosine metric used throughout the letter is consistent with downstream +perception on this task. + + diff --git a/bert_semcom.py b/bert_semcom.py new file mode 100755 index 0000000..18368e1 --- /dev/null +++ b/bert_semcom.py @@ -0,0 +1,785 @@ +# ========================================================= +# bert_semcom.py +# BERT-based Multi-User Semantic Communication +# with Expanded Shared Embedding + User-Wise Attention +# +# Key Idea: +# Each user's BERT embedding (768-dim) is EXPANDED to a +# larger shared embedding space (e.g., 768*K where K=4), +# enabling statistical multiplexing gain through masking +# in the over-provisioned shared space. +# +# Architecture: +# Tx: +# b_u = BERT(text_u) # (d_bert,) e.g., 768 +# e_u = W_tx(b_u) # (d_shared,) e.g., 3072 +# x_u = e_u ⊙ m_u # user-masked in expanded space +# y = Σ_u x_u # over-the-air superposition +# y_rx = channel(y) +# +# Rx (User-wise attention demux): +# R_i = y_rx ⊙ m_i # candidate projections +# a_{u,i} = softmax( / sqrt(d) ) +# z_u = Σ_i a_{u,i} R_i +# b̂_u = W_rx(z_u) # (d_bert,) recovered +# +# Loss: +# L = (1-λ) * MSE(b_u, b̂_u) + λ * (1 - CosSim(b_u, b̂_u)) +# +# Metrics: Cosine similarity, MSE +# +# Statistical Multiplexing Gain: +# Even with U=2 users, projecting to d_shared = d_bert*4 +# provides over-provisioned subspace for each user's mask, +# reducing inter-user interference and improving separation. +# +# Train modes: joint / maml_decoder / maml_full +# ========================================================= + +import argparse +import math +import random +import csv +import os +import numpy as np +import torch +import torch.nn as nn +import torch.nn.functional as F + +try: + from torch.func import functional_call +except Exception: + from torch.nn.utils.stateless import functional_call + + +# ========================================================= +# BERT Embedding Extractor (frozen) +# ========================================================= +class BertEmbeddingExtractor: + """ + Extract sentence-level embeddings from pre-trained BERT. + Uses mean pooling over non-padding tokens to mitigate + BERT [CLS] anisotropy. Returns un-normalized embeddings; + centering and L2-norm are applied at the cache level. + """ + def __init__(self, model_name="bert-base-uncased", device="cpu"): + from transformers import BertModel, BertTokenizer + self.tokenizer = BertTokenizer.from_pretrained(model_name) + self.model = BertModel.from_pretrained(model_name).to(device) + self.model.eval() + self.device = device + self.embed_dim = self.model.config.hidden_size # 768 + + @torch.no_grad() + def encode(self, texts): + """Mean-pooled token embedding (excluding padding).""" + inputs = self.tokenizer( + texts, padding=True, truncation=True, + max_length=64, return_tensors="pt" + ).to(self.device) + outputs = self.model(**inputs) + last_hidden = outputs.last_hidden_state # (B, T, d) + mask = inputs["attention_mask"].unsqueeze(-1).float() # (B, T, 1) + summed = (last_hidden * mask).sum(dim=1) # (B, d) + count = mask.sum(dim=1).clamp(min=1.0) # (B, 1) + mean_emb = summed / count # (B, d) + return mean_emb + + +# ========================================================= +# Text Dataset +# ========================================================= +def load_sentences(source="ag_news", max_sentences=50000, + min_len=5, max_len=30): + """Load sentences from various sources.""" + sentences = [] + + if source == "europarl": + try: + from datasets import load_dataset + ds = load_dataset("wmt14", "de-en", split="train", streaming=True) + for example in ds: + sent = example["translation"]["en"] + words = sent.split() + if min_len <= len(words) <= max_len: + sentences.append(sent) + if len(sentences) >= max_sentences: + break + except Exception: + print("[INFO] WMT14 not available, trying ag_news...") + source = "ag_news" + + if source == "ag_news": + try: + from datasets import load_dataset + ds = load_dataset("ag_news", split="train") + for example in ds: + sent = example["text"] + first_sent = sent.split(".")[0].strip() + words = first_sent.split() + if min_len <= len(words) <= max_len: + sentences.append(first_sent) + if len(sentences) >= max_sentences: + break + except Exception: + print("[INFO] ag_news not available, using synthetic...") + source = "synthetic" + + if source == "synthetic" or len(sentences) < 1000: + print("[INFO] Generating synthetic diverse sentences...") + templates = [ + "The {} {} the {} in the {}.", + "A {} {} quickly {} the {}.", + "Several {} {} near the {} {}.", + "The {} and {} {} {} together.", + "Every {} must {} its own {}.", + "Under the {}, a {} {} {} softly.", + "The {} of {} {} a {} signal.", + "Without {}, the {} cannot {} properly.", + "A new {} {} from the {} {}.", + "The {} {} through the {} channel.", + ] + nouns = ["system", "signal", "network", "channel", "user", "device", + "antenna", "receiver", "transmitter", "waveform", "protocol", + "data", "packet", "frequency", "power", "noise", "beam", + "satellite", "tower", "base station", "terminal", "sensor", + "message", "code", "sequence", "spectrum", "bandwidth"] + verbs = ["processes", "transmits", "receives", "analyzes", "encodes", + "decodes", "modulates", "filters", "amplifies", "detects", + "estimates", "optimizes", "adapts", "allocates", "schedules"] + adjs = ["wireless", "digital", "analog", "robust", "adaptive", + "cognitive", "massive", "distributed", "cooperative", "mobile", + "reliable", "efficient", "dynamic", "intelligent", "semantic"] + for _ in range(max(max_sentences, 50000)): + tmpl = random.choice(templates) + n_slots = tmpl.count("{}") + fillers = [random.choice(random.choice([nouns, verbs, adjs])) + for _ in range(n_slots)] + sentences.append(tmpl.format(*fillers)) + + random.shuffle(sentences) + return sentences[:max_sentences] + + +# ========================================================= +# Channel +# ========================================================= +def apply_channel(y, snr_db, channel="rayleigh"): + """ + y: (d_shared,) real-valued, power-normalized embedding vector. + Rayleigh: magnitude fading |h| where h ~ CN(0,1). + """ + snr_lin = 10 ** (snr_db / 10.0) + noise_var = 1.0 / snr_lin + + if channel == "rayleigh": + # Complex Rayleigh fading -> magnitude |h| + h_real = torch.randn((), device=y.device) + h_imag = torch.randn((), device=y.device) + h_mag = torch.sqrt(h_real**2 + h_imag**2) / math.sqrt(2.0) + y = h_mag * y + + noise = torch.randn_like(y) * math.sqrt(noise_var) + return y + noise + + +# ========================================================= +# Model: Expanded Shared Embedding + User-Wise Attention +# ========================================================= +class BertSemComMux(nn.Module): + """ + BERT-based Multi-User Semantic Communication. + + Key design: BERT embedding (d_bert=768) is EXPANDED to + d_shared = d_bert * mux_factor (e.g., 768*4=3072) to + provide statistical multiplexing gain. + + Even with fewer users than mux_factor, the expanded space + gives each user more "room" for orthogonal mask allocation, + reducing inter-user interference. + """ + def __init__(self, U, d_bert, d_shared, hidden=512): + super().__init__() + self.U = U + self.d_bert = d_bert # 768 + self.d_shared = d_shared # e.g., 768*4 = 3072 + + # Tx: single-layer linear projection to the shared space + # (no sub-d_bert bottleneck, no costly d_shared x d_shared layer). + # Followed by LayerNorm for numerical stability. + self.tx_proj = nn.Sequential( + nn.Linear(d_bert, d_shared), + nn.LayerNorm(d_shared), + ) + + # User-specific masks in expanded shared space + self.user_mask = nn.Embedding(U, d_shared) + + # Rx: user-wise attention queries in shared space + self.user_query = nn.Embedding(U, d_shared) + + # Rx: single-layer linear projection back to BERT space. + self.rx_proj = nn.Sequential( + nn.LayerNorm(d_shared), + nn.Linear(d_shared, d_bert), + ) + + nn.init.normal_(self.user_mask.weight, std=0.5) + nn.init.normal_(self.user_query.weight, std=0.5) + + def forward(self, bert_embs, snr_db, channel, params=None, + return_intermediate=False): + """ + bert_embs: (U, d_bert) - BERT sentence embeddings + Returns: (U, d_bert) - recovered embeddings + """ + dev = bert_embs.device + + # ----- Tx: Project to expanded shared space ----- + if params is None: + e = self.tx_proj(bert_embs) # (U, d_shared) + m = self.user_mask.weight # (U, d_shared) + else: + e = functional_call(self.tx_proj, params["tx_proj"], + (bert_embs,)) + m = functional_call( + self.user_mask, params["user_mask"], + (torch.arange(self.U, device=dev),)) + + # Masking in expanded space + x = e * m # (U, d_shared) + y_tx = x.sum(dim=0) # (d_shared,) + + # ----- Power normalization ----- + # OFDM model: each subcarrier (dimension) has unit power. + # Larger d_shared = more subcarriers = more bandwidth. + # Per-dimension SNR is the same regardless of d_shared. + # This models the bandwidth-quality trade-off: + # d_shared=128: compressed (low bandwidth, lossy) + # d_shared=768: matched (1:1) + # d_shared=3072: expanded (high bandwidth, room for separation) + y_tx = y_tx / (torch.sqrt((y_tx ** 2).mean() + 1e-8)) + + # ----- Channel ----- + y_rx = apply_channel(y_tx, snr_db, channel) + + # ----- Rx: user-wise attention ----- + R = y_rx.unsqueeze(0) * m # (U, d_shared) + Rn = F.normalize(R, p=2, dim=-1) + + recovered = [] + attn_weights = [] + for u in range(self.U): + if params is None: + q = self.user_query(torch.tensor(u, device=dev)) + else: + q = functional_call( + self.user_query, params["user_query"], + (torch.tensor(u, device=dev),)) + + qn = F.normalize(q, p=2, dim=-1) + # Native cosine-similarity scores (no extra 1/sqrt(d_s) + # damping). Since Rn, qn are unit-norm, the raw dot product + # is already in [-1, 1] and softmax-friendly. The standard + # 1/sqrt(d) attention temperature would collapse softmax to + # near-uniform when d_s is large (e.g., 3072). + scores = (Rn @ qn) * 8.0 # mild temperature sharpening + attn = F.softmax(scores, dim=0) + attn_weights.append(attn.detach()) + + z_u = (attn.unsqueeze(-1) * R).sum(dim=0) # (d_shared,) + + # Reverse projection: shared space -> BERT space + if params is None: + b_hat_u = self.rx_proj(z_u) + else: + b_hat_u = functional_call(self.rx_proj, params["rx_proj"], + (z_u,)) + + recovered.append(b_hat_u) + + result = torch.stack(recovered, dim=0) # (U, d_bert) + + if return_intermediate: + return result, { + "y_tx": y_tx.detach(), + "y_rx": y_rx.detach(), + "attn": torch.stack(attn_weights, dim=0), # (U, U) + "masks": m.detach(), + "projected": e.detach(), + } + + return result + + +# ========================================================= +# Loss Function +# ========================================================= +def semantic_loss(b_orig, b_hat, lam=0.5): + """ + Combined MSE + Cosine Similarity loss. + b_orig, b_hat: (U, d_bert) + """ + mse = F.mse_loss(b_hat, b_orig) + cos_sim = F.cosine_similarity(b_hat, b_orig, dim=-1).mean() + loss = (1.0 - lam) * mse + lam * (1.0 - cos_sim) + return loss, mse.item(), cos_sim.item() + + +# ========================================================= +# MAML Helpers (same structure as original maml.py) +# ========================================================= +def split_params(model: BertSemComMux): + return { + "tx_proj": dict(model.tx_proj.named_parameters()), + "user_mask": dict(model.user_mask.named_parameters()), + "user_query": dict(model.user_query.named_parameters()), + "rx_proj": dict(model.rx_proj.named_parameters()), + } + + +def select_inner_keys(train_mode: str): + if train_mode == "maml_decoder": + return ["user_query", "rx_proj"] + if train_mode == "maml_full": + return ["tx_proj", "user_mask", "user_query", "rx_proj"] + return [] + + +def ordered_param_items(param_dict: dict): + return [(k, param_dict[k]) for k in sorted(param_dict.keys())] + + +def gather_inner_params(fast_params: dict, inner_keys: list): + flat_list, meta_index = [], [] + for key in inner_keys: + for name, p in ordered_param_items(fast_params[key]): + flat_list.append(p) + meta_index.append((key, name)) + return flat_list, meta_index + + +def apply_inner_update(fast_params, inner_keys, meta_index, grads, + inner_lr, maml_order): + new_fast = {k: dict(v) for k, v in fast_params.items()} + for (key, name), g in zip(meta_index, grads): + if maml_order == "first": + g = g.detach() + new_fast[key][name] = new_fast[key][name] - inner_lr * g + return new_fast + + +# ========================================================= +# Embedding Cache (pre-compute BERT embeddings) +# ========================================================= +class EmbeddingCache: + """Pre-compute, center, and L2-normalize BERT embeddings. + Centering removes the dominant mean direction to reduce + anisotropy; L2 normalization gives unit-norm embeddings + suitable for cosine-similarity-based loss/metrics. + """ + def __init__(self, bert_extractor, sentences, batch_size=64): + self.embeddings = [] + self.sentences = sentences + print(f"[INFO] Pre-computing BERT embeddings for " + f"{len(sentences)} sentences...") + for i in range(0, len(sentences), batch_size): + batch = sentences[i:i+batch_size] + emb = bert_extractor.encode(batch) + self.embeddings.append(emb.cpu()) + self.embeddings = torch.cat(self.embeddings, dim=0) + + # Center (subtract mean direction) to reduce anisotropy + self.mean = self.embeddings.mean(dim=0, keepdim=True) + self.embeddings = self.embeddings - self.mean + # L2-normalize + self.embeddings = F.normalize(self.embeddings, p=2, dim=-1) + + # Sanity check: random pairwise cos sim should be near 0 + n_check = min(500, len(self.embeddings)) + idx1 = torch.randperm(len(self.embeddings))[:n_check] + idx2 = torch.randperm(len(self.embeddings))[:n_check] + cs = F.cosine_similarity(self.embeddings[idx1], + self.embeddings[idx2], dim=-1) + print(f"[INFO] Cached {self.embeddings.shape[0]} embeddings, " + f"shape={self.embeddings.shape}") + print(f"[INFO] After centering: random pair cos sim " + f"mean={cs.mean():.4f}, std={cs.std():.4f}") + + def sample(self, U, device): + """Sample U random embeddings.""" + idx = torch.randint(0, len(self.embeddings), (U,)) + return self.embeddings[idx].to(device), idx + + def get_sentences(self, idx): + """Get sentences by index.""" + return [self.sentences[i] for i in idx] + + +# ========================================================= +# Evaluation +# ========================================================= +@torch.no_grad() +def evaluate(model, cache, args, device): + model.eval() + total_cos, total_mse, n_trials = 0.0, 0.0, 0 + + if not args.eval_adapt: + for _ in range(args.eval_trials): + b, _ = cache.sample(args.users, device) + b_hat = model(b, args.snr, args.channel, params=None) + cos = F.cosine_similarity(b_hat, b, dim=-1).mean().item() + mse = F.mse_loss(b_hat, b).item() + total_cos += cos + total_mse += mse + n_trials += 1 + return total_cos / n_trials, total_mse / n_trials + + # Few-shot adaptation + inner_keys = select_inner_keys(args.eval_adapt_mode) + base_params = split_params(model) + + for _ in range(args.eval_trials): + b_sup, _ = cache.sample(args.users, device) + fast_params = {k: {n: p for n, p in v.items()} + for k, v in base_params.items()} + + with torch.enable_grad(): + for _ in range(args.eval_inner_steps): + b_hat_sup = model(b_sup, args.snr, args.channel, + params=fast_params) + loss_sup, _, _ = semantic_loss(b_sup, b_hat_sup, + args.loss_lambda) + flat_list, meta_index = gather_inner_params( + fast_params, inner_keys) + grads = torch.autograd.grad(loss_sup, flat_list, + create_graph=False) + fast_params = apply_inner_update( + fast_params, inner_keys, meta_index, grads, + inner_lr=args.eval_inner_lr, maml_order="first") + + b_q, _ = cache.sample(args.users, device) + b_hat_q = model(b_q, args.snr, args.channel, params=fast_params) + cos = F.cosine_similarity(b_hat_q, b_q, dim=-1).mean().item() + mse = F.mse_loss(b_hat_q, b_q).item() + total_cos += cos + total_mse += mse + n_trials += 1 + + return total_cos / n_trials, total_mse / n_trials + + +# ========================================================= +# Train & Eval +# ========================================================= +def train_and_eval(args): + if args.cuda and torch.cuda.is_available(): + device = torch.device("cuda") + elif torch.backends.mps.is_available(): + device = torch.device("mps") + else: + device = torch.device("cpu") + + torch.manual_seed(args.seed) + random.seed(args.seed) + np.random.seed(args.seed) + + # ---- Load BERT and pre-compute embeddings ---- + bert = BertEmbeddingExtractor(args.bert_model, device) + d_bert = bert.embed_dim # 768 + + # Compute d_shared = d_bert * mux_factor + d_shared = d_bert * args.mux_factor + print(f"[INFO] d_bert={d_bert}, mux_factor={args.mux_factor}, " + f"d_shared={d_shared}") + + sentences = load_sentences(args.data_source, args.max_sentences) + print(f"[INFO] Loaded {len(sentences)} sentences") + + cache = EmbeddingCache(bert, sentences, + batch_size=args.bert_batch_size) + + # Free BERT from GPU + del bert + if torch.cuda.is_available(): + torch.cuda.empty_cache() + + # ---- Build model ---- + model = BertSemComMux(args.users, d_bert, d_shared, + args.hidden).to(device) + opt = torch.optim.Adam(model.parameters(), lr=args.lr) + + train_snr_list = list(args.train_snr) + inner_keys = select_inner_keys(args.train_mode) + + # ---- Config ---- + print("=" * 60) + print(" BERT Semantic Communication - Expanded Shared Embedding") + print("=" * 60) + print(f" Device : {device}") + print(f" Train mode : {args.train_mode}") + print(f" MAML order : {args.maml_order}") + print(f" Users (U) : {args.users}") + print(f" BERT dim (d_bert) : {d_bert}") + print(f" Mux factor (K) : {args.mux_factor}") + print(f" Shared dim (d_shared): {d_shared}") + print(f" Hidden (MLP) : {args.hidden}") + print(f" Channel : {args.channel}") + print(f" Loss lambda : {args.loss_lambda}") + print("-" * 60) + print(f" Train SNRs (dB) : {train_snr_list}") + print(f" Eval SNR (dB) : {args.snr}") + print("-" * 60) + print(f" Epochs : {args.epochs}") + print(f" Steps/epoch : {args.train_steps_per_epoch}") + print(f" Eval trials : {args.eval_trials}") + if args.train_mode != "joint": + print("-" * 60) + print(f" Inner steps : {args.inner_steps}") + print(f" Inner LR : {args.inner_lr}") + print(f" Meta-batch : {args.meta_batch}") + print(f" Inner keys : {inner_keys}") + print("=" * 60) + + # ---- CSV ---- + os.makedirs(args.save_dir, exist_ok=True) + csv_path = os.path.join( + args.save_dir, + f"bert_{args.train_mode}_{args.users}U_K{args.mux_factor}.csv" + ) + + if not os.path.exists(csv_path): + with open(csv_path, "w", newline="") as f: + writer = csv.writer(f) + writer.writerow([ + "epoch", "train_mode", "maml_order", + "users", "d_bert", "mux_factor", "d_shared", + "channel", "train_snrs", "eval_snr", + "inner_steps", "inner_lr", "meta_batch", + "avg_loss", "cos_sim", "mse" + ]) + + # ---- Training ---- + for ep in range(1, args.epochs + 1): + model.train() + loss_meter = 0.0 + + for _ in range(args.train_steps_per_epoch): + if args.train_mode == "joint": + b, _ = cache.sample(args.users, device) + snr = float(random.choice(train_snr_list)) + b_hat = model(b, snr, args.channel, params=None) + loss, _, _ = semantic_loss(b, b_hat, args.loss_lambda) + opt.zero_grad(set_to_none=True) + loss.backward() + opt.step() + loss_meter += loss.item() + + else: + # MAML + if args.meta_batch > len(train_snr_list): + snr_tasks = [float(random.choice(train_snr_list)) + for _ in range(args.meta_batch)] + else: + snr_tasks = [float(x) for x in + random.sample(train_snr_list, + args.meta_batch)] + + base_params = split_params(model) + meta_loss = torch.tensor(0.0, device=device) + + for snr in snr_tasks: + fast_params = { + k: {n: p for n, p in v.items()} + for k, v in base_params.items() + } + + for _ in range(args.inner_steps): + b_sup, _ = cache.sample(args.users, device) + b_hat_sup = model(b_sup, snr, args.channel, + params=fast_params) + loss_sup, _, _ = semantic_loss( + b_sup, b_hat_sup, args.loss_lambda) + + flat_list, meta_index = gather_inner_params( + fast_params, inner_keys) + create_graph = (args.maml_order == "second") + grads = torch.autograd.grad( + loss_sup, flat_list, + create_graph=create_graph) + fast_params = apply_inner_update( + fast_params, inner_keys, meta_index, grads, + inner_lr=args.inner_lr, + maml_order=args.maml_order) + + b_q, _ = cache.sample(args.users, device) + b_hat_q = model(b_q, snr, args.channel, + params=fast_params) + qloss, _, _ = semantic_loss( + b_q, b_hat_q, args.loss_lambda) + meta_loss = meta_loss + qloss + + meta_loss = meta_loss / float(args.meta_batch) + opt.zero_grad(set_to_none=True) + meta_loss.backward() + opt.step() + loss_meter += meta_loss.item() + + avg_loss = loss_meter / float(args.train_steps_per_epoch) + + # ---- Eval ---- + cos_sim, mse = evaluate(model, cache, args, device) + + print(f"[Epoch {ep:03d}/{args.epochs}] loss={avg_loss:.4f} | " + f"SNR={args.snr:.1f}dB | CosSim={cos_sim:.4f} | " + f"MSE={mse:.4e}") + + with open(csv_path, "a", newline="") as f: + writer = csv.writer(f) + writer.writerow([ + ep, args.train_mode, args.maml_order, + args.users, d_bert, args.mux_factor, d_shared, + args.channel, train_snr_list, args.snr, + (args.inner_steps if args.train_mode != "joint" else ""), + (args.inner_lr if args.train_mode != "joint" else ""), + (args.meta_batch if args.train_mode != "joint" else ""), + avg_loss, cos_sim, mse + ]) + + print(f"\n✅ Results saved to: {csv_path}") + return model + + +# ========================================================= +# Main +# ========================================================= +if __name__ == "__main__": + parser = argparse.ArgumentParser( + description="BERT-based Multi-User Semantic Communication " + "with Expanded Shared Embedding") + + # training mode + parser.add_argument("--train-mode", + choices=["joint", "maml_decoder", "maml_full"], + default="joint") + parser.add_argument("--maml-order", choices=["first", "second"], + default="first") + + # model + parser.add_argument("--users", type=int, default=4) + parser.add_argument("--mux-factor", type=int, default=4, + help="Shared dim = d_bert * mux_factor " + "(e.g., 4 -> 768*4=3072)") + parser.add_argument("--hidden", type=int, default=512) + + # BERT + parser.add_argument("--bert-model", type=str, + default="bert-base-uncased") + parser.add_argument("--bert-batch-size", type=int, default=64) + + # data + parser.add_argument("--data-source", + choices=["europarl", "ag_news", "synthetic"], + default="ag_news") + parser.add_argument("--max-sentences", type=int, default=50000) + + # channel + parser.add_argument("--channel", choices=["awgn", "rayleigh"], + default="rayleigh") + + # loss + parser.add_argument("--loss-lambda", type=float, default=0.5) + + # training + parser.add_argument("--epochs", type=int, default=100) + parser.add_argument("--train-steps-per-epoch", type=int, default=2000) + parser.add_argument("--train-snr", type=float, nargs="+", + default=[0, 5, 10, 15, 20, 25]) + parser.add_argument("--lr", type=float, default=1e-3) + + # MAML + parser.add_argument("--inner-lr", type=float, default=1e-3) + parser.add_argument("--inner-steps", type=int, default=1) + parser.add_argument("--meta-batch", type=int, default=4) + + # evaluation + parser.add_argument("--snr", type=float, default=10.0) + parser.add_argument("--eval-trials", type=int, default=5000) + + # test-time adaptation + parser.add_argument("--eval-adapt", action="store_true") + parser.add_argument("--eval-adapt-mode", + choices=["maml_decoder", "maml_full"], + default="maml_decoder") + parser.add_argument("--eval-inner-steps", type=int, default=1) + parser.add_argument("--eval-inner-lr", type=float, default=1e-3) + + # misc + parser.add_argument("--save-dir", type=str, default="results_bert") + parser.add_argument("--cuda", action="store_true") + parser.add_argument("--seed", type=int, default=0) + parser.add_argument("--debug-maml", action="store_true") + + args = parser.parse_args() + train_and_eval(args) + + +""" +======================== +Example Commands +======================== + +[1] Joint training (U=4, K=4 -> d_shared=3072, Rayleigh) +python3 bert_semcom.py \ + --train-mode joint \ + --users 4 --mux-factor 4 \ + --snr 10 --channel rayleigh \ + --data-source ag_news \ + --epochs 50 --train-steps-per-epoch 2000 \ + --eval-trials 5000 --cuda + +[2] Statistical mux gain: U=2, still K=4 (over-provisioned) +python3 bert_semcom.py \ + --train-mode joint \ + --users 2 --mux-factor 4 \ + --snr 10 --channel rayleigh \ + --epochs 50 --cuda + +[3] Compare mux factors: K=1,2,4,8 +for K in 1 2 4 8; do + python3 bert_semcom.py \ + --train-mode joint \ + --users 4 --mux-factor $K \ + --snr 10 --epochs 50 --cuda +done + +[4] Decoder-only MAML (U=4, K=4) +python3 bert_semcom.py \ + --train-mode maml_decoder --maml-order first \ + --users 4 --mux-factor 4 \ + --meta-batch 4 --inner-lr 5e-4 --inner-steps 1 \ + --snr 10 --epochs 50 --cuda + +[5] Full MAML +python3 bert_semcom.py \ + --train-mode maml_full --maml-order first \ + --users 4 --mux-factor 4 \ + --meta-batch 4 --inner-lr 5e-4 --inner-steps 1 \ + --snr 10 --epochs 50 --cuda + +[6] SNR sweep +for snr in 0 5 10 15 20 25 30; do + python3 bert_semcom.py \ + --train-mode joint \ + --users 4 --mux-factor 4 \ + --snr $snr --epochs 50 --cuda +done + +[7] User count comparison (all with K=4) +for u in 2 4 8 16; do + python3 bert_semcom.py \ + --train-mode joint \ + --users $u --mux-factor 4 \ + --snr 10 --epochs 50 --cuda +done +""" diff --git a/cl_experiments.py b/cl_experiments.py new file mode 100755 index 0000000..ff266b1 --- /dev/null +++ b/cl_experiments.py @@ -0,0 +1,538 @@ +# ========================================================= +# cl_experiments.py — IEEE Communications Letters revision +# +# New experiments addressing TVT reviewer comments: +# R2-2 : held-out train/test split (8000/2000, disjoint) +# R1-2 : bandwidth-expansion sweep K = 1, 2, 4, 8 at U = 4 +# R1-5c: static random-projection mask baseline (frozen masks) +# R2-3 : ToDMA-style token-domain CS baseline (same channel budget) +# R1-5b: DistilBERT generalization check +# R2-4 : downstream AG News topic accuracy (linear probe) +# R1-3 : runtime latency / parameter count +# +# All evaluations are on the held-out test split. +# Outputs: fig_cl/cl_results.json, fig_cl/cl_convergence.csv +# ========================================================= + +import argparse, os, json, csv, math, random, time, itertools +import numpy as np +import torch +import torch.nn as nn +import torch.nn.functional as F + +from bert_semcom import ( + BertSemComMux, semantic_loss, + split_params, select_inner_keys, gather_inner_params, + apply_inner_update +) + +EVAL_SNRS = (0, 5, 10, 15, 20, 25, 30) +TRAIN_SNRS = [0, 5, 10, 15, 20, 25] + + +def set_seed(seed=42): + torch.manual_seed(seed) + random.seed(seed) + np.random.seed(seed) + + +# --------------------------------------------------------- +# Data with labels + disjoint split +# --------------------------------------------------------- +def load_agnews_labeled(n_train=8000, n_test=2000, + min_len=5, max_len=30, seed=42): + from datasets import load_dataset + try: + ds = load_dataset("ag_news", split="train") + except Exception: + ds = load_dataset("fancyzhx/ag_news", split="train") + items = [] + for ex in ds: + first = ex["text"].split(".")[0].strip() + w = first.split() + if min_len <= len(w) <= max_len: + items.append((first, int(ex["label"]))) + if len(items) >= (n_train + n_test): + break + rng = random.Random(seed) + rng.shuffle(items) + train = items[:n_train] + test = items[n_train:n_train + n_test] + return train, test + + +class Extractor: + """Frozen encoder (BERT or DistilBERT), mean-pooled.""" + def __init__(self, model_name, device): + from transformers import AutoModel, AutoTokenizer + self.tokenizer = AutoTokenizer.from_pretrained(model_name) + self.model = AutoModel.from_pretrained(model_name).to(device) + self.model.eval() + self.device = device + self.embed_dim = self.model.config.hidden_size + + @torch.no_grad() + def encode(self, texts, max_length=64): + inputs = self.tokenizer(texts, padding=True, truncation=True, + max_length=max_length, + return_tensors="pt").to(self.device) + out = self.model(**inputs) + h = out.last_hidden_state + mask = inputs["attention_mask"].unsqueeze(-1).float() + return (h * mask).sum(1) / mask.sum(1).clamp(min=1.0) + + +class SplitCache: + """Train/test embedding caches. Centering mean computed on the + TRAIN pool only and reused for the test split (R2-2).""" + def __init__(self, extractor, train_items, test_items, bs=64): + self.train_texts = [t for t, _ in train_items] + self.train_labels = torch.tensor([l for _, l in train_items]) + self.test_texts = [t for t, _ in test_items] + self.test_labels = torch.tensor([l for _, l in test_items]) + + def enc_all(texts): + embs = [] + for i in range(0, len(texts), bs): + embs.append(extractor.encode(texts[i:i + bs]).cpu()) + return torch.cat(embs, 0) + + print(f"[INFO] Encoding {len(self.train_texts)} train sentences...", + flush=True) + E_tr = enc_all(self.train_texts) + print(f"[INFO] Encoding {len(self.test_texts)} test sentences...", + flush=True) + E_te = enc_all(self.test_texts) + + self.mu = E_tr.mean(0, keepdim=True) + self.train = F.normalize(E_tr - self.mu, p=2, dim=-1) + self.test = F.normalize(E_te - self.mu, p=2, dim=-1) + + cs = F.cosine_similarity( + self.test[torch.randperm(len(self.test))[:500]], + self.test[torch.randperm(len(self.test))[:500]], dim=-1) + print(f"[INFO] test split: random-pair cos mean={cs.mean():.4f} " + f"std={cs.std():.4f}", flush=True) + + def sample_train(self, U, device): + idx = torch.randint(0, len(self.train), (U,)) + return self.train[idx].to(device), idx + + def sample_test(self, U, device, gen=None): + idx = torch.randint(0, len(self.test), (U,), generator=gen) + return self.test[idx].to(device), idx + + +# --------------------------------------------------------- +# Training (train pool) + held-out evaluation (test pool) +# --------------------------------------------------------- +def train_config(cache, U, d_bert, K, device, mode="joint", + freeze_masks=False, epochs=200, steps=300, + lr=1e-3, inner_lr=5e-4, inner_steps=1, meta_batch=4, + lam=0.5, channel="rayleigh", conv_trials=50, + label="", seed=42): + set_seed(seed) + d_shared = d_bert * K + model = BertSemComMux(U, d_bert, d_shared, 512).to(device) + if freeze_masks: + model.user_mask.weight.requires_grad_(False) + opt = torch.optim.Adam( + [p for p in model.parameters() if p.requires_grad], lr=lr) + inner_keys = select_inner_keys(mode) + conv = [] + t0 = time.time() + + for ep in range(1, epochs + 1): + model.train() + loss_sum = 0.0 + for _ in range(steps): + if mode == "joint": + b, _ = cache.sample_train(U, device) + snr = float(random.choice(TRAIN_SNRS)) + b_hat = model(b, snr, channel) + loss, _, _ = semantic_loss(b, b_hat, lam) + opt.zero_grad(set_to_none=True) + loss.backward() + opt.step() + loss_sum += loss.item() + else: + snr_tasks = [float(x) for x in + random.sample(TRAIN_SNRS, meta_batch)] + base_params = split_params(model) + meta_loss = torch.tensor(0.0, device=device) + for snr in snr_tasks: + fp = {k: {n: p for n, p in v.items()} + for k, v in base_params.items()} + for _ in range(inner_steps): + b_s, _ = cache.sample_train(U, device) + bh = model(b_s, snr, channel, params=fp) + ls, _, _ = semantic_loss(b_s, bh, lam) + fl, mi = gather_inner_params(fp, inner_keys) + grads = torch.autograd.grad(ls, fl) + fp = apply_inner_update(fp, inner_keys, mi, grads, + inner_lr, "first") + b_q, _ = cache.sample_train(U, device) + bh_q = model(b_q, snr, channel, params=fp) + ql, _, _ = semantic_loss(b_q, bh_q, lam) + meta_loss = meta_loss + ql + meta_loss = meta_loss / float(meta_batch) + opt.zero_grad(set_to_none=True) + meta_loss.backward() + opt.step() + loss_sum += meta_loss.item() + + # light held-out convergence eval @10 dB + model.eval() + with torch.no_grad(): + c = 0.0 + for _ in range(conv_trials): + b, _ = cache.sample_test(U, device) + bh = model(b, 10, channel) + c += F.cosine_similarity(bh, b, dim=-1).mean().item() + conv.append({"epoch": ep, "loss": loss_sum / steps, + "cos10": c / conv_trials}) + if ep % 20 == 0 or ep == 1 or ep == epochs: + print(f" [{label} Ep {ep:03d}/{epochs}] " + f"loss={loss_sum/steps:.4f} " + f"cos@10dB(test)={c/conv_trials:.4f}", flush=True) + + train_time = time.time() - t0 + return model, conv, train_time + + +@torch.no_grad() +def final_eval(model, cache, U, device, channel="rayleigh", + trials=500, collect_at=None, seed=123): + """Held-out SNR sweep. If collect_at is set (snr list), also return + recovered embeddings + label indices for the linear probe.""" + model.eval() + gen = torch.Generator().manual_seed(seed) + out = {} + collected = {} + for snr in EVAL_SNRS: + ct, mt = 0.0, 0.0 + rec, idxs = [], [] + for _ in range(trials): + b, idx = cache.sample_test(U, device, gen=gen) + bh = model(b, snr, channel) + ct += F.cosine_similarity(bh, b, dim=-1).mean().item() + mt += F.mse_loss(bh, b).item() + if collect_at and snr in collect_at: + rec.append(bh.cpu()) + idxs.append(idx) + out[snr] = {"cos": ct / trials, "mse": mt / trials} + if collect_at and snr in collect_at: + collected[snr] = (torch.cat(rec, 0), torch.cat(idxs, 0)) + return out, collected + + +# --------------------------------------------------------- +# Linear probe (AG News 4-class) on clean train embeddings +# --------------------------------------------------------- +def train_probe(cache, device, epochs=300, lr=1e-2): + X = cache.train.to(device) + y = cache.train_labels.to(device) + W = nn.Linear(X.shape[1], 4).to(device) + opt = torch.optim.Adam(W.parameters(), lr=lr) + for _ in range(epochs): + opt.zero_grad() + loss = F.cross_entropy(W(X), y) + loss.backward() + opt.step() + with torch.no_grad(): + acc_clean = (W(cache.test.to(device)).argmax(-1).cpu() + == cache.test_labels).float().mean().item() + print(f"[INFO] probe clean test accuracy = {acc_clean:.4f}", flush=True) + return W, acc_clean + + +@torch.no_grad() +def probe_accuracy(W, collected, cache, device): + accs = {} + for snr, (rec, idx) in collected.items(): + pred = W(rec.to(device)).argmax(-1).cpu() + accs[snr] = (pred == cache.test_labels[idx]).float().mean().item() + return accs + + +# --------------------------------------------------------- +# ToDMA-style token-domain CS baseline (R2-3) +# - shared random Gaussian codebook over the BERT vocabulary +# - per-slot OMP detection (U iterations) +# - genie-aided token-source association (upper bound): +# a user's token is recovered iff it lies in the detected support +# - identical total channel budget: T * L = d_s = 3072 real uses +# - identical per-dimension sum power = 1 and noise var = 1/gamma +# --------------------------------------------------------- +@torch.no_grad() +def todma_eval(extractor, cache, device, U=4, T=24, L=128, + n_frames=200, channel="rayleigh", seed=7, + collect_at=None): + tok = extractor.tokenizer + V = tok.vocab_size + g = torch.Generator().manual_seed(seed) + C = torch.randn(V, L, generator=g) + C = F.normalize(C, p=2, dim=1).to(device) # unit-norm atoms + amp = math.sqrt(L / U) # per-user energy + + # pre-tokenize test sentences (no special tokens), truncate to T + tok_ids = [tok(t, add_special_tokens=False)["input_ids"][:T] + for t in cache.test_texts] + + results = {} + collected = {} + t_omp_total, n_omp = 0.0, 0 + for snr in EVAL_SNRS: + sigma = math.sqrt(1.0 / (10 ** (snr / 10.0))) + cs_sum, n_sent = 0.0, 0 + tok_err_sum, tok_cnt = 0, 0 + rec_all, idx_all = [], [] + rng = torch.Generator().manual_seed(seed + snr) + for fr in range(n_frames): + idx = torch.randint(0, len(cache.test), (U,), generator=rng) + seqs = [tok_ids[i] for i in idx.tolist()] + if channel == "rayleigh": + hr = torch.randn(U, generator=rng) + hi = torch.randn(U, generator=rng) + h = torch.sqrt(hr ** 2 + hi ** 2) / math.sqrt(2.0) + else: + h = torch.ones(U) + h = h.to(device) + + det_ids = [[] for _ in range(U)] + t1 = time.time() + for t in range(T): + active = [(u, seqs[u][t]) for u in range(U) + if t < len(seqs[u])] + if not active: + break + y = torch.zeros(L, device=device) + for u, tid in active: + y = y + h[u] * amp * C[tid] + y = y + sigma * torch.randn(L, device=device) + # OMP: U iterations + residual = y.clone() + support = [] + for _ in range(min(U, len(active))): + corr = torch.mv(C, residual).abs() + if support: + corr[torch.tensor(support, device=device)] = -1 + k = int(corr.argmax().item()) + support.append(k) + A = C[support].T * amp # (L, |S|) + coef, *_ = torch.linalg.lstsq(A, y.unsqueeze(1)) + residual = y - (A @ coef).squeeze(1) + sset = set(support) + for u, tid in active: + tok_cnt += 1 + if tid in sset: + det_ids[u].append(tid) # genie assoc. + else: + tok_err_sum += 1 # erasure + t_omp_total += time.time() - t1 + n_omp += 1 + + texts = [tok.decode(d) if d else "[UNK]" for d in det_ids] + emb = extractor.encode(texts).cpu() + emb = F.normalize(emb - cache.mu, p=2, dim=-1) + ref = cache.test[idx] + cs_sum += F.cosine_similarity(emb, ref, dim=-1).sum().item() + n_sent += U + if collect_at and snr in collect_at: + rec_all.append(emb) + idx_all.append(idx) + + results[snr] = {"cos": cs_sum / n_sent, + "token_err": tok_err_sum / max(tok_cnt, 1)} + if collect_at and snr in collect_at: + collected[snr] = (torch.cat(rec_all, 0), torch.cat(idx_all, 0)) + print(f" [ToDMA T={T} L={L}] SNR={snr} " + f"cos={results[snr]['cos']:.4f} " + f"tokErr={results[snr]['token_err']:.4f}", flush=True) + + results["omp_ms_per_frame"] = 1000.0 * t_omp_total / max(n_omp, 1) + return results, collected + + +# --------------------------------------------------------- +# Latency / parameter count (R1-3) +# --------------------------------------------------------- +@torch.no_grad() +def measure_latency(model, cache, U, device, n=200): + b, _ = cache.sample_test(U, device) + for _ in range(20): + model(b, 10, "rayleigh") + if device.type == "cuda": + torch.cuda.synchronize() + t0 = time.time() + for _ in range(n): + model(b, 10, "rayleigh") + if device.type == "cuda": + torch.cuda.synchronize() + ms = 1000.0 * (time.time() - t0) / n + n_params = sum(p.numel() for p in model.parameters()) + return ms, n_params + + +@torch.no_grad() +def measure_bert_latency(extractor, texts, n=50): + for _ in range(5): + extractor.encode(texts[:4]) + if extractor.device == "cuda" or (hasattr(extractor.device, "type") + and extractor.device.type == "cuda"): + torch.cuda.synchronize() + t0 = time.time() + for i in range(n): + extractor.encode([texts[i % len(texts)]]) + torch.cuda.synchronize() + return 1000.0 * (time.time() - t0) / n + + +# --------------------------------------------------------- +# Main +# --------------------------------------------------------- +def main(): + ap = argparse.ArgumentParser() + ap.add_argument("--save-dir", default="fig_cl") + ap.add_argument("--epochs", type=int, default=200) + ap.add_argument("--steps", type=int, default=300) + ap.add_argument("--trials", type=int, default=500) + ap.add_argument("--todma-frames", type=int, default=200) + ap.add_argument("--skip-distil", action="store_true") + args = ap.parse_args() + + device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + os.makedirs(args.save_dir, exist_ok=True) + print(f"[Device: {device}]", flush=True) + + train_items, test_items = load_agnews_labeled() + print(f"[INFO] split: {len(train_items)} train / " + f"{len(test_items)} test", flush=True) + + bert = Extractor("bert-base-uncased", device) + d_bert = bert.embed_dim + cache = SplitCache(bert, train_items, test_items) + + R = {"meta": {"epochs": args.epochs, "steps": args.steps, + "trials": args.trials}} + conv_rows = [] + + # linear probe on clean train embeddings + probe, acc_clean = train_probe(cache, device) + R["probe_clean_acc"] = acc_clean + + PROBE_SNRS = list(EVAL_SNRS) + + # ---- (1) orthogonal baseline U=1, d=768 ---- + # ---- (2) proposed U=1..6, K=4 ---- + # ---- (3) K sweep U=4, K in {1,2,8} ---- + # ---- (4) random frozen masks U=4, K=4 ---- + # ---- (5) MAML full U=4, K=4 ---- + configs = [ + ("baseline_U1_K1", dict(U=1, K=1)), + ("prop_U1_K4", dict(U=1, K=4)), + ("prop_U2_K4", dict(U=2, K=4)), + ("prop_U3_K4", dict(U=3, K=4)), + ("prop_U4_K4", dict(U=4, K=4)), + ("prop_U5_K4", dict(U=5, K=4)), + ("prop_U6_K4", dict(U=6, K=4)), + ("ksweep_U4_K1", dict(U=4, K=1)), + ("ksweep_U4_K2", dict(U=4, K=2)), + ("ksweep_U4_K8", dict(U=4, K=8)), + ("randmask_U4_K4", dict(U=4, K=4, freeze_masks=True)), + ("maml_U4_K4", dict(U=4, K=4, mode="maml_full")), + ] + + masks_store = {} + for name, kw in configs: + print(f"\n=== {name} ===", flush=True) + U, K = kw.pop("U"), kw.pop("K") + model, conv, ttime = train_config( + cache, U, d_bert, K, device, + epochs=args.epochs, steps=args.steps, label=name, **kw) + collect = PROBE_SNRS if name in ( + "baseline_U1_K1", "prop_U4_K4", "randmask_U4_K4") else None + sweep, collected = final_eval(model, cache, U, device, + trials=args.trials, + collect_at=collect) + entry = {"U": U, "K": K, "train_s": ttime, + "snr": {str(s): sweep[s] for s in EVAL_SNRS}} + if collect: + entry["probe_acc"] = {str(s): a for s, a in + probe_accuracy(probe, collected, + cache, device).items()} + if name in ("prop_U2_K4", "prop_U3_K4", "prop_U4_K4"): + m = model.user_mask.weight.detach().cpu() + mn = F.normalize(m, p=2, dim=1) + masks_store[name] = (mn @ mn.T).numpy().tolist() + if name == "prop_U4_K4": + ms_gpu, n_params = measure_latency(model, cache, U, device) + cpu_model = BertSemComMux(U, d_bert, d_bert * K, 512) + cpu_model.load_state_dict(model.state_dict()) + cpu_dev = torch.device("cpu") + b_cpu, _ = cache.sample_test(U, cpu_dev) + for _ in range(10): + cpu_model(b_cpu, 10, "rayleigh") + t0 = time.time() + for _ in range(50): + cpu_model(b_cpu, 10, "rayleigh") + ms_cpu = 1000.0 * (time.time() - t0) / 50 + R["latency"] = {"proposed_gpu_ms": ms_gpu, + "proposed_cpu_ms": ms_cpu, + "params": n_params} + print(f"[LATENCY] proposed frame: {ms_gpu:.2f} ms (GPU) " + f"{ms_cpu:.2f} ms (CPU), params={n_params/1e6:.2f}M", + flush=True) + R[name] = entry + for c in conv: + conv_rows.append([name, c["epoch"], c["loss"], c["cos10"]]) + with open(os.path.join(args.save_dir, "cl_results.json"), "w") as f: + json.dump(R, f, indent=1) + + R["mask_corr"] = masks_store + + # ---- (6) ToDMA-style baseline, two budget splits ---- + print("\n=== ToDMA-style baseline ===", flush=True) + R["bert_tx_ms"] = measure_bert_latency(bert, cache.test_texts) + print(f"[LATENCY] BERT encode per sentence: {R['bert_tx_ms']:.1f} ms", + flush=True) + for (T, L) in [(24, 128), (16, 192)]: + res, coll = todma_eval(bert, cache, device, U=4, T=T, L=L, + n_frames=args.todma_frames, + collect_at=PROBE_SNRS if T == 24 else None) + key = f"todma_T{T}_L{L}" + R[key] = {str(s): res[s] for s in EVAL_SNRS} + R[key]["omp_ms_per_frame"] = res["omp_ms_per_frame"] + if coll: + R[key]["probe_acc"] = {str(s): a for s, a in + probe_accuracy(probe, coll, + cache, device).items()} + with open(os.path.join(args.save_dir, "cl_results.json"), "w") as f: + json.dump(R, f, indent=1) + + # ---- (7) DistilBERT generalization check ---- + if not args.skip_distil: + print("\n=== DistilBERT check (U=4, K=4) ===", flush=True) + distil = Extractor("distilbert-base-uncased", device) + dcache = SplitCache(distil, train_items, test_items) + model, conv, _ = train_config(dcache, 4, distil.embed_dim, 4, + device, epochs=args.epochs, + steps=args.steps, label="distil") + sweep, _ = final_eval(model, dcache, 4, device, trials=args.trials) + R["distil_U4_K4"] = {"snr": {str(s): sweep[s] for s in EVAL_SNRS}} + for c in conv: + conv_rows.append(["distil_U4_K4", c["epoch"], c["loss"], + c["cos10"]]) + + with open(os.path.join(args.save_dir, "cl_results.json"), "w") as f: + json.dump(R, f, indent=1) + with open(os.path.join(args.save_dir, "cl_convergence.csv"), "w", + newline="") as f: + w = csv.writer(f) + w.writerow(["config", "epoch", "loss", "cos10_test"]) + w.writerows(conv_rows) + print("\nAll CL experiments complete.", flush=True) + + +if __name__ == "__main__": + main() diff --git a/cl_maml_all.py b/cl_maml_all.py new file mode 100755 index 0000000..b825cbb --- /dev/null +++ b/cl_maml_all.py @@ -0,0 +1,188 @@ +# ========================================================= +# cl_maml_all.py — promote SNR-aware MAML to the default +# training procedure for all reported configurations. +# +# Adds MAML-trained counterparts of the load sweep, the +# conventional orthogonal scheme (fairness: both sides at +# their best), and the random-mask variant. The K sweep and +# DistilBERT stay joint-trained (sensitivity studies). +# +# Held-out evaluation identical to cl_experiments.py. +# Output: fig_cl/cl_results_maml.json (+ convergence CSV) +# ========================================================= + +import argparse, os, json, csv, time, random +import torch +import torch.nn.functional as F + +from bert_semcom import ( + BertSemComMux, semantic_loss, split_params, + gather_inner_params, apply_inner_update +) +from cl_experiments import ( + load_agnews_labeled, Extractor, SplitCache, + final_eval, train_probe, probe_accuracy, set_seed, + EVAL_SNRS, TRAIN_SNRS, measure_latency +) + + +def train_maml(cache, U, d_bert, K, device, freeze_masks=False, + epochs=200, steps=300, lr=1e-3, inner_lr=5e-4, + meta_batch=4, lam=0.5, channel="rayleigh", + conv_trials=50, label="", seed=42): + set_seed(seed) + model = BertSemComMux(U, d_bert, d_bert * K, 512).to(device) + if freeze_masks: + model.user_mask.weight.requires_grad_(False) + inner_keys = ["tx_proj", "user_query", "rx_proj"] + else: + inner_keys = ["tx_proj", "user_mask", "user_query", "rx_proj"] + opt = torch.optim.Adam( + [p for p in model.parameters() if p.requires_grad], lr=lr) + conv = [] + t0 = time.time() + for ep in range(1, epochs + 1): + model.train() + loss_sum = 0.0 + for _ in range(steps): + snr_tasks = [float(x) for x in + random.sample(TRAIN_SNRS, meta_batch)] + base_params = split_params(model) + meta_loss = torch.tensor(0.0, device=device) + for snr in snr_tasks: + fp = {k: {n: p for n, p in v.items()} + for k, v in base_params.items()} + b_s, _ = cache.sample_train(U, device) + bh = model(b_s, snr, channel, params=fp) + ls, _, _ = semantic_loss(b_s, bh, lam) + fl, mi = gather_inner_params(fp, inner_keys) + grads = torch.autograd.grad(ls, fl) + fp = apply_inner_update(fp, inner_keys, mi, grads, + inner_lr, "first") + b_q, _ = cache.sample_train(U, device) + bh_q = model(b_q, snr, channel, params=fp) + ql, _, _ = semantic_loss(b_q, bh_q, lam) + meta_loss = meta_loss + ql + meta_loss = meta_loss / float(meta_batch) + opt.zero_grad(set_to_none=True) + meta_loss.backward() + opt.step() + loss_sum += meta_loss.item() + model.eval() + with torch.no_grad(): + c = 0.0 + for _ in range(conv_trials): + b, _ = cache.sample_test(U, device) + bh = model(b, 10, channel) + c += F.cosine_similarity(bh, b, dim=-1).mean().item() + conv.append({"epoch": ep, "loss": loss_sum / steps, + "cos10": c / conv_trials}) + if ep % 20 == 0 or ep == 1 or ep == epochs: + print(f" [{label} Ep {ep:03d}/{epochs}] " + f"loss={loss_sum/steps:.4f} " + f"cos@10dB(test)={c/conv_trials:.4f}", flush=True) + return model, conv, time.time() - t0 + + +def main(): + ap = argparse.ArgumentParser() + ap.add_argument("--save-dir", default="fig_cl") + ap.add_argument("--epochs", type=int, default=200) + ap.add_argument("--steps", type=int, default=300) + ap.add_argument("--trials", type=int, default=500) + args = ap.parse_args() + + device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + os.makedirs(args.save_dir, exist_ok=True) + print(f"[Device: {device}]", flush=True) + train_items, test_items = load_agnews_labeled() + bert = Extractor("bert-base-uncased", device) + d_bert = bert.embed_dim + cache = SplitCache(bert, train_items, test_items) + del bert + torch.cuda.empty_cache() + + probe, acc_clean = train_probe(cache, device) + R = {"probe_clean_acc": acc_clean} + PROBE_SNRS = list(EVAL_SNRS) + conv_rows = [] + + configs = [ + ("mamlB_U1_K1", dict(U=1, K=1)), + ("mamlP_U1_K4", dict(U=1, K=4)), + ("mamlP_U2_K4", dict(U=2, K=4)), + ("mamlP_U3_K4", dict(U=3, K=4)), + ("mamlP_U5_K4", dict(U=5, K=4)), + ("mamlP_U6_K4", dict(U=6, K=4)), + ("mamlR_U4_K4", dict(U=4, K=4, freeze_masks=True)), + ] + masks_store = {} + for name, kw in configs: + print(f"\n=== {name} ===", flush=True) + U, K = kw.pop("U"), kw.pop("K") + model, conv, ttime = train_maml( + cache, U, d_bert, K, device, + epochs=args.epochs, steps=args.steps, label=name, **kw) + collect = PROBE_SNRS if name in ( + "mamlB_U1_K1", "mamlR_U4_K4") else None + sweep, collected = final_eval(model, cache, U, device, + trials=args.trials, + collect_at=collect) + entry = {"U": U, "K": K, "train_s": ttime, + "snr": {str(s): sweep[s] for s in EVAL_SNRS}} + if collect: + entry["probe_acc"] = {str(s): a for s, a in + probe_accuracy(probe, collected, + cache, device).items()} + if name in ("mamlP_U2_K4", "mamlP_U3_K4"): + m = model.user_mask.weight.detach().cpu() + mn = F.normalize(m, p=2, dim=1) + masks_store[name] = (mn @ mn.T).numpy().tolist() + R[name] = entry + for c in conv: + conv_rows.append([name, c["epoch"], c["loss"], c["cos10"]]) + R["mask_corr"] = masks_store + with open(os.path.join(args.save_dir, + "cl_results_maml.json"), "w") as f: + json.dump(R, f, indent=1) + + # probe accuracies for the already-trained maml_U4_K4 are collected + # by re-training? No — retrain U=4 MAML for probe collection and + # mask correlation so every reported number comes from one protocol. + print("\n=== mamlP_U4_K4 (retrain for probe/masks) ===", flush=True) + model, conv, ttime = train_maml(cache, 4, d_bert, 4, device, + epochs=args.epochs, steps=args.steps, + label="mamlP_U4_K4") + sweep, collected = final_eval(model, cache, 4, device, + trials=args.trials, + collect_at=PROBE_SNRS) + entry = {"U": 4, "K": 4, "train_s": ttime, + "snr": {str(s): sweep[s] for s in EVAL_SNRS}} + entry["probe_acc"] = {str(s): a for s, a in + probe_accuracy(probe, collected, + cache, device).items()} + m = model.user_mask.weight.detach().cpu() + mn = F.normalize(m, p=2, dim=1) + masks_store["mamlP_U4_K4"] = (mn @ mn.T).numpy().tolist() + ms_gpu, n_params = measure_latency(model, cache, 4, device) + entry["lat_gpu_ms"] = ms_gpu + entry["params"] = n_params + R["mamlP_U4_K4"] = entry + R["mask_corr"] = masks_store + for c in conv: + conv_rows.append(["mamlP_U4_K4", c["epoch"], c["loss"], + c["cos10"]]) + + with open(os.path.join(args.save_dir, "cl_results_maml.json"), + "w") as f: + json.dump(R, f, indent=1) + with open(os.path.join(args.save_dir, "cl_convergence_maml.csv"), + "w", newline="") as f: + w = csv.writer(f) + w.writerow(["config", "epoch", "loss", "cos10_test"]) + w.writerows(conv_rows) + print("\nAll MAML-default experiments complete.", flush=True) + + +if __name__ == "__main__": + main() diff --git a/cl_maml_extra.py b/cl_maml_extra.py new file mode 100755 index 0000000..2cf8d0f --- /dev/null +++ b/cl_maml_extra.py @@ -0,0 +1,77 @@ +# cl_maml_extra.py — MAML-trained K sweep (K=1,2,8) and DistilBERT +# replication, completing the unified MAML protocol. +import argparse, os, json, csv +import torch +import torch.nn.functional as F + +from cl_experiments import ( + load_agnews_labeled, Extractor, SplitCache, final_eval, set_seed, + EVAL_SNRS +) +from cl_maml_all import train_maml + + +def main(): + ap = argparse.ArgumentParser() + ap.add_argument("--save-dir", default="fig_cl") + ap.add_argument("--epochs", type=int, default=200) + ap.add_argument("--steps", type=int, default=300) + ap.add_argument("--trials", type=int, default=500) + args = ap.parse_args() + + device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + os.makedirs(args.save_dir, exist_ok=True) + print(f"[Device: {device}]", flush=True) + train_items, test_items = load_agnews_labeled() + bert = Extractor("bert-base-uncased", device) + d_bert = bert.embed_dim + cache = SplitCache(bert, train_items, test_items) + del bert + torch.cuda.empty_cache() + + R = {} + conv_rows = [] + for name, K in [("mamlK_U4_K1", 1), ("mamlK_U4_K2", 2), + ("mamlK_U4_K8", 8)]: + print(f"\n=== {name} ===", flush=True) + model, conv, ttime = train_maml(cache, 4, d_bert, K, device, + epochs=args.epochs, + steps=args.steps, label=name) + sweep, _ = final_eval(model, cache, 4, device, trials=args.trials) + R[name] = {"U": 4, "K": K, "train_s": ttime, + "snr": {str(s): sweep[s] for s in EVAL_SNRS}} + for c in conv: + conv_rows.append([name, c["epoch"], c["loss"], c["cos10"]]) + with open(os.path.join(args.save_dir, + "cl_results_maml2.json"), "w") as f: + json.dump(R, f, indent=1) + + print("\n=== mamlD_U4_K4 (DistilBERT) ===", flush=True) + distil = Extractor("distilbert-base-uncased", device) + dcache = SplitCache(distil, train_items, test_items) + d_d = distil.embed_dim + del distil + torch.cuda.empty_cache() + model, conv, ttime = train_maml(dcache, 4, d_d, 4, device, + epochs=args.epochs, + steps=args.steps, label="mamlD") + sweep, _ = final_eval(model, dcache, 4, device, trials=args.trials) + R["mamlD_U4_K4"] = {"U": 4, "K": 4, "train_s": ttime, + "snr": {str(s): sweep[s] for s in EVAL_SNRS}} + for c in conv: + conv_rows.append(["mamlD_U4_K4", c["epoch"], c["loss"], + c["cos10"]]) + + with open(os.path.join(args.save_dir, "cl_results_maml2.json"), + "w") as f: + json.dump(R, f, indent=1) + with open(os.path.join(args.save_dir, "cl_convergence_maml2.csv"), + "w", newline="") as f: + w = csv.writer(f) + w.writerow(["config", "epoch", "loss", "cos10_test"]) + w.writerows(conv_rows) + print("\nExtra MAML experiments complete.", flush=True) + + +if __name__ == "__main__": + main() diff --git a/cl_todma_load.py b/cl_todma_load.py new file mode 100755 index 0000000..888da3d --- /dev/null +++ b/cl_todma_load.py @@ -0,0 +1,42 @@ +# cl_todma_load.py — ToDMA load sweep (evaluation only, no training). +# +# Evaluates the ToDMA token-domain scheme (T=24, L=128, genie-aided +# association) for U in {1,2,3,5,6} on the held-out test set, matching +# the U=4 run stored in cl_results.json, so that Fig. 3 can show the +# ToDMA aggregate fidelity across load. +import argparse, os, json +import torch + +from cl_experiments import ( + load_agnews_labeled, Extractor, SplitCache, todma_eval, EVAL_SNRS +) + + +def main(): + ap = argparse.ArgumentParser() + ap.add_argument("--save-dir", default="fig_cl") + ap.add_argument("--frames", type=int, default=200) + args = ap.parse_args() + + device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + os.makedirs(args.save_dir, exist_ok=True) + print(f"[Device: {device}]", flush=True) + train_items, test_items = load_agnews_labeled() + bert = Extractor("bert-base-uncased", device) + cache = SplitCache(bert, train_items, test_items) + + R = {} + for U in [1, 2, 3, 5, 6]: + print(f"\n=== ToDMA U={U} (T=24, L=128) ===", flush=True) + res, _ = todma_eval(bert, cache, device, U=U, T=24, L=128, + n_frames=args.frames) + key = f"todma_U{U}_T24_L128" + R[key] = {str(s): res[s] for s in EVAL_SNRS} + with open(os.path.join(args.save_dir, + "cl_results_todma_u.json"), "w") as f: + json.dump(R, f, indent=1) + print("\nToDMA load sweep complete.", flush=True) + + +if __name__ == "__main__": + main() diff --git a/fig_cl/cl_convergence.csv b/fig_cl/cl_convergence.csv new file mode 100755 index 0000000..462c938 --- /dev/null +++ b/fig_cl/cl_convergence.csv @@ -0,0 +1,2601 @@ 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a/fig_cl/cl_convergence_maml.csv b/fig_cl/cl_convergence_maml.csv new file mode 100755 index 0000000..56c0373 --- /dev/null +++ b/fig_cl/cl_convergence_maml.csv @@ -0,0 +1,1601 @@ +config,epoch,loss,cos10_test +mamlB_U1_K1,1,0.27023060878117877,0.7281379294395447 +mamlB_U1_K1,2,0.15997582217057546,0.7719942063093186 +mamlB_U1_K1,3,0.1330647483964761,0.7971147048473358 +mamlB_U1_K1,4,0.11037418807546298,0.8266709554195404 +mamlB_U1_K1,5,0.10730437830090522,0.843580082654953 +mamlB_U1_K1,6,0.1003861319149534,0.8490905237197875 +mamlB_U1_K1,7,0.09424200392017762,0.8248419719934463 +mamlB_U1_K1,8,0.08628572861353556,0.830438964664936 +mamlB_U1_K1,9,0.0836343518147866,0.8568229335546493 +mamlB_U1_K1,10,0.08347071506083012,0.869967451095581 +mamlB_U1_K1,11,0.08313499587277572,0.874478520154953 +mamlB_U1_K1,12,0.07917990073561669,0.8444239056110382 +mamlB_U1_K1,13,0.07562332657476266,0.8878309261798859 +mamlB_U1_K1,14,0.07457296748956045,0.8668385255336761 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analysis for the letter. +# +# Scatter of downstream probe accuracy (AG News topic classification, +# linear probe trained on clean training-pool embeddings) against the +# cosine similarity of the recovered embeddings, across schemes and +# SNRs, with the Pearson correlation. Shows that the cosine metric used +# in the letter is consistent with downstream perception. +import json +import numpy as np +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +plt.rcParams.update({'font.size': 14, 'axes.linewidth': 1.2}) + +with open("fig_cl/cl_results.json") as f: + RJ = json.load(f) +with open("fig_cl/cl_results_maml.json") as f: + RM = json.load(f) + +SNRS = ["0", "5", "10", "15", "20", "25", "30"] + +# (label, cos-source, acc-source, marker, color) +def sweep_pairs(entry, todma=False): + cos, acc = [], [] + for s in SNRS: + a = entry.get("probe_acc", {}).get(s) + if a is None: + continue + c = entry[s]["cos"] if todma else entry["snr"][s]["cos"] + cos.append(c) + acc.append(a) + return cos, acc + + +SCHEMES = [ + ("Proposed (MAML)", RM["mamlP_U4_K4"], False, "v", "#d62728"), + ("Training w/o MAML [5]", RJ["prop_U4_K4"], False, "x", "#8c564b"), + ("Random-projection mask (MAML)", RM["mamlR_U4_K4"], False, "s", + "#984ea3"), + ("Conventional orthogonal (MAML)", RM["mamlB_U1_K1"], False, "o", + "#1a1a1a"), + ("Conventional orthogonal (joint)", RJ["baseline_U1_K1"], False, "P", + "#7f7f7f"), + ("Random-projection mask (joint)", RJ["randmask_U4_K4"], False, "D", + "#c994c7"), + ("ToDMA 24x128", RJ["todma_T24_L128"], True, "^", "#4393c3"), +] + +all_cos, all_acc = [], [] +fig = plt.figure(figsize=(7.0, 5.4)) +ax = fig.add_axes([0.12, 0.12, 0.83, 0.83]) +for lab, entry, todma, mk, col in SCHEMES: + cos, acc = sweep_pairs(entry, todma) + ax.scatter(cos, acc, marker=mk, s=70, color=col, label=lab, + zorder=3, alpha=0.9) + all_cos += cos + all_acc += acc + +all_cos = np.array(all_cos) +all_acc = np.array(all_acc) +r = np.corrcoef(all_cos, all_acc)[0, 1] +b, a = np.polyfit(all_cos, all_acc, 1) +xg = np.linspace(all_cos.min(), all_cos.max(), 50) +ax.plot(xg, b * xg + a, color="#888888", linewidth=1.5, linestyle="--", + zorder=2, label=f"Linear fit (Pearson $r$={r:.3f})") +clean = RM.get("probe_clean_acc", RJ.get("probe_clean_acc")) +ax.axhline(clean, color="#bbbbbb", linewidth=1.2, linestyle=":", + zorder=1) +ax.text(all_cos.min(), clean + 0.004, + f"Clean-embedding reference ({clean:.3f})", fontsize=11, + color="#888888") +ax.set_xlabel("Cosine similarity of recovered embeddings", fontsize=15) +ax.set_ylabel("Downstream probe accuracy", fontsize=15) +ax.grid(True, alpha=0.3) +ax.legend(fontsize=10.5, loc="lower right") +fig.savefig("fig_cl/probe_vs_cosine.png", dpi=150) +fig.savefig("fig_cl/probe_vs_cosine.pdf", dpi=200) +print(f"Saved probe_vs_cosine.(png|pdf) Pearson r = {r:.4f} " + f"over {len(all_cos)} scheme-SNR points") + +# Markdown table for the repository README +print("\n| Scheme | CosSim 5 dB | Acc 5 dB | CosSim 20 dB | Acc 20 dB |") +print("|---|---|---|---|---|") +for lab, entry, todma, _, _ in SCHEMES: + def get(s): + c = entry[s]["cos"] if todma else entry["snr"][s]["cos"] + return c, entry.get("probe_acc", {}).get(s, float("nan")) + c5, a5 = get("5") + c20, a20 = get("20") + print(f"| {lab} | {c5:.3f} | {a5:.3f} | {c20:.3f} | {a20:.3f} |") + + diff --git a/replot_cl.py b/replot_cl.py new file mode 100755 index 0000000..24416b1 --- /dev/null +++ b/replot_cl.py @@ -0,0 +1,183 @@ +# Plot CL-letter figures from fig_cl/cl_results*.json +# +# Geometry rule (paper_requirement): every result figure uses the same +# fixed canvas and the same 8:6 axes box, and no tight bounding box is +# applied at save time. Scheme names avoid the banned word "baseline". +# +# Figure set (single large graph per figure): +# Fig. 2 (cl_fig_mux.pdf) : one SNR sweep merging the load sweep +# (conventional + proposed U=1..4) and the +# matched-budget comparison (random mask, +# ToDMA x2) at U=4. +# Fig. 3 (cl_fig_agg.pdf) : aggregate fidelity bars for U=1..6 with +# per-user CosSim and the fully loaded +# orthogonal reference. +import json +import numpy as np +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +plt.rcParams.update({'font.size': 15, 'axes.linewidth': 1.2}) + +with open("fig_cl/cl_results.json") as f: + R = json.load(f) +# MAML-trained results (reported default protocol) overlay the joint +# runs: every reported transceiver key is remapped to its MAML twin. +with open("fig_cl/cl_results_maml.json") as f: + R.update(json.load(f)) +try: + with open("fig_cl/cl_results_maml2.json") as f: + R.update(json.load(f)) +except FileNotFoundError: + pass +KEYMAP = { + "baseline_U1_K1": "mamlB_U1_K1", + "prop_U1_K4": "mamlP_U1_K4", "prop_U2_K4": "mamlP_U2_K4", + "prop_U3_K4": "mamlP_U3_K4", "prop_U4_K4": "mamlP_U4_K4", + "prop_U5_K4": "mamlP_U5_K4", "prop_U6_K4": "mamlP_U6_K4", + "randmask_U4_K4": "mamlR_U4_K4", + "ksweep_U4_K1": "mamlK_U4_K1", "ksweep_U4_K2": "mamlK_U4_K2", + "ksweep_U4_K8": "mamlK_U4_K8", +} +# Preserve the joint-trained runs before remapping: they appear in the +# figures as the joint-training ablation (same architecture, no MAML). +JOINT = {k: R[k] for k in list(KEYMAP.keys()) if k in R} +for old, new in KEYMAP.items(): + if new in R: + R[old] = R[new] + +SNRS = [0, 5, 10, 15, 20, 25, 30] + +# Single-graph geometry shared by both result figures: canvas +# 7.5 x 5.55 in, axes box 6.0 x 4.5 in (exactly 8:6). +FIGSIZE = (7.5, 5.55) +AX_RECT = [0.105, 0.115, 0.77, 0.7804] + + +def one_panel(): + fig = plt.figure(figsize=FIGSIZE) + return fig, fig.add_axes(AX_RECT) + + +def cos_curve(key): + return [R[key]["snr"][str(s)]["cos"] for s in SNRS] + + +# ============================================================ +# Fig 2: merged SNR sweep (load sweep + matched-budget comparison) +# ============================================================ +fig, ax = one_panel() + +curves = [ + ("prop_U1_K4", "Proposed $U$=1", "s", "-", "#1a9641", 2), + ("prop_U2_K4", "Proposed $U$=2", "^", "-", "#2166ac", 2), + ("prop_U3_K4", "Proposed $U$=3", "D", "-", "#d95f02", 2), + ("prop_U4_K4", "Proposed $U$=4", "v", "-", "#d62728", 2.5), + ("JOINT:prop_U4_K4", "Training w/o MAML [5]", "x", + (0, (5, 2)), "#8c564b", 2), + ("baseline_U1_K1", "Conventional orthogonal", "o", "--", "#1a1a1a", 2), + ("randmask_U4_K4", "Random-projection mask", "s", "-.", "#984ea3", 2), + ("todma_T24_L128", "ToDMA $24\\times128$", "^", ":", + "#4393c3", 2), + ("todma_T16_L192", "ToDMA $16\\times192$", "D", ":", + "#92c5de", 2), +] +for key, lab, mk, ls, col, lw in curves: + if key.startswith("todma"): + vals = [R[key][str(s)]["cos"] for s in SNRS] + elif key.startswith("JOINT:"): + vals = [JOINT[key[6:]]["snr"][str(s)]["cos"] for s in SNRS] + else: + vals = cos_curve(key) + ax.plot(SNRS, vals, marker=mk, linestyle=ls, color=col, + linewidth=lw, markersize=8, label=lab) +ax.set_xlabel("SNR (dB)", fontsize=17) +ax.set_ylabel("Cosine Similarity", fontsize=17) +ax.set_ylim([0.45, 1.0]) +ax.legend(fontsize=12.5, loc="lower right", ncol=1) +ax.grid(True, alpha=0.3) +fig.savefig("fig_cl/cl_fig_mux.pdf", dpi=200) +fig.savefig("fig_cl/cl_fig_mux.png", dpi=150) +plt.close(fig) +print("Saved cl_fig_mux.pdf") + +# ============================================================ +# Fig 3: aggregate fidelity across load (bars + per-user line) +# ============================================================ +fig, ax2 = one_panel() + +from matplotlib.patches import Patch + +snr_show = "10" +conv_cos = R["baseline_U1_K1"]["snr"][snr_show]["cos"] +per_user = [R[f"prop_U{U}_K4"]["snr"][snr_show]["cos"] for U in range(1, 7)] +joint_pu = [JOINT[f"prop_U{U}_K4"]["snr"][snr_show]["cos"] + for U in range(1, 7)] +thr = [U * c for U, c in zip(range(1, 7), per_user)] +thr_j = [U * c for U, c in zip(range(1, 7), joint_pu)] +xs = np.arange(1, 7) +# Single color per scheme so the bars match the legend patches. +C_PROP = "#d62728" +with open("fig_cl/cl_results_todma_u.json") as f: + RT = json.load(f) +todma_pu = [RT[f"todma_U{U}_T24_L128"][snr_show]["cos"] if U != 4 + else R["todma_T24_L128"][snr_show]["cos"] for U in range(1, 7)] +thr_t = [U * c for U, c in zip(range(1, 7), todma_pu)] +ax2.bar([0], [conv_cos], width=0.55, color="#1a1a1a", alpha=0.85) +ax2.text(0, conv_cos + 0.08, f"{conv_cos:.2f}", ha="center", + va="bottom", fontsize=12) +ax2.bar(xs - 0.27, thr, width=0.26, color=C_PROP, alpha=0.9) +ax2.bar(xs, thr_j, width=0.26, color=C_PROP, alpha=0.4, + hatch="//", edgecolor="#555555", linewidth=0.5) +ax2.bar(xs + 0.27, thr_t, width=0.26, color="#4393c3", alpha=0.75, + hatch="..", edgecolor="#1f5f8b", linewidth=0.5) +for x, val in zip(xs, thr): + ax2.text(x - 0.27, val + 0.08, f"{val:.2f}", ha="center", + va="bottom", fontsize=11) +# Fully loaded orthogonal aggregate (4 blocks x 768 uses = same budget) +ax2.axhline(4 * conv_cos, linestyle="-.", color="#555555", linewidth=2) +ax2.text(-0.45, 4 * conv_cos + 0.13, "Fully loaded orthogonal", + fontsize=12.5, color="#555555") +ax2.set_xticks([0] + list(xs)) +ax2.set_xticklabels(["Conv.\n$U$=1"] + [f"Multi.\n$U$={U}" + for U in range(1, 7)], fontsize=12) +ax2.set_ylabel(r"Aggregate fidelity ($U \!\cdot\! \mathrm{CosSim}$)", + fontsize=16) +ax2.grid(True, alpha=0.3, axis="y") +ax2.set_ylim([0, max(thr) * 1.22]) +handles = [Patch(facecolor=C_PROP, alpha=0.9, label="Proposed"), + Patch(facecolor=C_PROP, alpha=0.4, hatch="//", + edgecolor="#555555", label="Training w/o MAML [5]"), + Patch(facecolor="#4393c3", alpha=0.75, hatch="..", + edgecolor="#1f5f8b", label="ToDMA $24\\times128$")] +ax2.legend(handles=handles, fontsize=11, loc="center left", + bbox_to_anchor=(0.02, 0.44)) +fig.savefig("fig_cl/cl_fig_agg.pdf", dpi=200) +fig.savefig("fig_cl/cl_fig_agg.png", dpi=150) +plt.close(fig) +print("Saved cl_fig_agg.pdf") + +# ============================================================ +# Print the numbers quoted in the letter +# ============================================================ +print("\n===== NUMBERS FOR TEXT (MAML default, held-out) =====") +print("conv per-user@20:", round(conv_cos, 3), + " fully loaded aggregate:", round(4 * conv_cos, 2)) +for U in range(1, 7): + v = R[f"prop_U{U}_K4"]["snr"]["20"]["cos"] + print(f"U={U}: per-user {v:.3f} aggregate {U*v:.2f}") +print("overload ratio:", + round(6 * R["prop_U6_K4"]["snr"]["20"]["cos"] / (4 * conv_cos), 2)) +print("randmask@20:", round(R["randmask_U4_K4"]["snr"]["20"]["cos"], 3)) +for s in ["0", "5", "15", "20", "30"]: + print(f"todma24@{s}: {R['todma_T24_L128'][s]['cos']:.3f} " + f"prop@{s}: {R['prop_U4_K4']['snr'][s]['cos']:.3f}") +for k in ["ksweep_U4_K1", "ksweep_U4_K2", "prop_U4_K4", "ksweep_U4_K8"]: + print(k, "0dB:", round(R[k]["snr"]["0"]["cos"], 3), + "20dB:", round(R[k]["snr"]["20"]["cos"], 3)) +if "mamlD_U4_K4" in R: + print("distil(MAML)@20:", round(R["mamlD_U4_K4"]["snr"]["20"]["cos"], 3)) + + + +