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.

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()