Archive analytic real-data curves (incl. SFDMA) as stored artifact

This commit is contained in:
KiHoLee
2026-08-25 23:02:19 +09:00
parent 344ae1b97d
commit 97bbfb1617
3 changed files with 168 additions and 0 deletions
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@@ -121,6 +121,10 @@ fig.tight_layout()
fig.savefig('results/fig_realdata.pdf', bbox_inches='tight') fig.savefig('results/fig_realdata.pdf', bbox_inches='tight')
fig.savefig('results/fig_realdata.png', dpi=140, bbox_inches='tight') fig.savefig('results/fig_realdata.png', dpi=140, bbox_inches='tight')
fig.savefig('results/fig_realdata_c.pdf', bbox_inches='tight') fig.savefig('results/fig_realdata_c.pdf', bbox_inches='tight')
import json as _json
with open('results/realdata_analytic.json','w') as _f:
_json.dump({sc:{k:list(map(float,v)) for k,v in d.items()} for sc,d in ana.items()}, _f, indent=1)
print('saved results/realdata_analytic.json')
print('saved results/fig_realdata_c.pdf') print('saved results/fig_realdata_c.pdf')
for s in SCEN: for s in SCEN:
print(f"[{s}] @20dB OFDMA={ana[s]['OFDMA'][-1]:.3f} SFDMA={ana[s]['SFDMA'][-1]:.3f} " print(f"[{s}] @20dB OFDMA={ana[s]['OFDMA'][-1]:.3f} SFDMA={ana[s]['SFDMA'][-1]:.3f} "
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@@ -0,0 +1,164 @@
{
"HIGH": {
"OFDMA": [
0.37861328125,
0.41453125,
0.4473828125,
0.468203125,
0.48638671875,
0.5044140625,
0.51908203125,
0.5286328125,
0.53861328125,
0.54025390625,
0.54203125
],
"SFDMA": [
0.3799609375,
0.41423828125,
0.4475,
0.4698046875,
0.4858203125,
0.503671875,
0.51322265625,
0.528125,
0.5378515625,
0.5383984375,
0.54203125
],
"NOMA-SIC": [
0.959921875,
0.9588671875,
0.9374609375,
0.90783203125,
0.88005859375,
0.85904296875,
0.843515625,
0.83283203125,
0.82787109375,
0.82078125,
0.81755859375
],
"UWCA (analytical)": [
0.736875,
0.78798828125,
0.82431640625,
0.85056640625,
0.866796875,
0.8809375,
0.89392578125,
0.8988671875,
0.9065234375,
0.90408203125,
0.90732421875
]
},
"LOW": {
"OFDMA": [
0.37962890625,
0.41490234375,
0.436796875,
0.465078125,
0.48669921875,
0.497734375,
0.5064453125,
0.516328125,
0.51921875,
0.52474609375,
0.5308984375
],
"SFDMA": [
0.38158203125,
0.41474609375,
0.4375,
0.46376953125,
0.48546875,
0.49544921875,
0.5080859375,
0.5149609375,
0.52048828125,
0.5258984375,
0.53150390625
],
"NOMA-SIC": [
0.18515625,
0.17927734375,
0.17955078125,
0.17869140625,
0.18005859375,
0.177421875,
0.1775390625,
0.1780859375,
0.17841796875,
0.17927734375,
0.1799609375
],
"UWCA (analytical)": [
0.37111328125,
0.403828125,
0.429375,
0.453203125,
0.47552734375,
0.48888671875,
0.49654296875,
0.50271484375,
0.5108203125,
0.51544921875,
0.51802734375
]
},
"MIX": {
"OFDMA": [
0.39236328125,
0.42443359375,
0.45361328125,
0.4771875,
0.4936328125,
0.51189453125,
0.52232421875,
0.5315234375,
0.5384765625,
0.54220703125,
0.55119140625
],
"SFDMA": [
0.38923828125,
0.4246875,
0.449140625,
0.47380859375,
0.49046875,
0.5125390625,
0.5215234375,
0.5321875,
0.5395703125,
0.54419921875,
0.5509375
],
"NOMA-SIC": [
0.40421875,
0.41462890625,
0.42103515625,
0.421875,
0.4278515625,
0.4266015625,
0.42970703125,
0.4303125,
0.43126953125,
0.4305859375,
0.4296875
],
"UWCA (analytical)": [
0.46947265625,
0.50712890625,
0.5417578125,
0.56376953125,
0.581640625,
0.6001171875,
0.611171875,
0.61728515625,
0.62193359375,
0.6252734375,
0.63068359375
]
}
}