kiholee/uwca-semantic-mac
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Legend dictionary: UWCA (trained) in fairness figure, UWCA (oracle) in real-data figure

Browse Source
This commit is contained in:
KiHoLee
2026-08-25 22:11:43 +09:00
parent 587a653f6b
commit 5020ab0569
5 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
experiments/make_figures.py
+1 -1
View File
@@ -65,7 +65,7 @@ for ax, sc, ttl in zip(axs, ["HIGH", "MIX"], ["(a) HIGH", "(b) MIX"]):
ax.semilogy(snr, v["lmmse_blind"]["ser"], "v-", color=C["blind"],
markevery=(1, 2), label="LMMSE-blind")
ax.semilogy(snr, v["noma"]["ser"], "^-.", color=C["noma"], label="NOMA-SIC")
ax.semilogy(snr, v["uwca"]["ser"], "o-", color=C["uwca"], label="UWCA (proposed)")
ax.semilogy(snr, v["uwca"]["ser"], "o-", color=C["uwca"], label="UWCA (trained)")
ax.semilogy(snr, v["lmmse_genie"]["ser"], "d:", color=C["genie"],
label="LMMSE-genie")
ax.set_xlabel("SNR (dB)")