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TRACEstats.py
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#!/usr/bin/python
import sys
import matplotlib.pyplot as plt
import numpy as np
import collections as cl
if len(sys.argv)>1:
if (sys.argv[1].find('-t=')==0):
outputFileTag=sys.argv[1][ sys.argv[1].find('-t=')+3: ]
if len(sys.argv)>2:
if (sys.argv[2].find('-l=')==0):
firstFileName=3
listOfLabels=sys.argv[2][ sys.argv[2].find('-l=')+3: ].split(',')
print(listOfLabels)
else:
firstFileName=2
listOfLabels=sys.argv[firstFileName:]
else:
firstFileName=1
outputFileTag=""
listOfLabels=sys.argv[firstFileName:]
filenames = sys.argv[firstFileName:]
else:
filenames = ['RxPacketTrace.txt']
outputFileTag=""
resultsDic={}
ResDicStruct=cl.namedtuple('ResDicStruct',[
'dAvgBlerDL',
'dAvgBlerUL',
'dAvgCorrDL',
'dAvgCorrUL',
'dNBlerDL',
'dNBlerUL',
'dAvgSINRDL',
'dAvgSINRUL',
'dlAllSINRDL',
'dlAllSINRUL',
'dlAllMCSactDl',
'dlAllMCSactUl',
])
for filename in filenames:
f=open(filename)
dAvgBlerDL={}
dAvgBlerUL={}
dAvgCorrDL={}
dAvgCorrUL={}
dNBlerDL={}
dNBlerUL={}
dAvgSINRDL={}
dAvgSINRUL={}
dlAllSINRDL={}
dlAllSINRUL={}
dlAllMCSactDl={}
dlAllMCSactUl={}
bFirstLine = True
for ln in f:
if bFirstLine:
bFirstLine=False
continue
vals=ln.split('\t')
rnti=int(vals[7])
size=int(vals[9])
mcsact=int(vals[10])
sinrdB=float(vals[12])
corrupted=int(vals[13])
tbler=float(vals[14])
if (size>200):
if vals[0].find('DL')>=0:
if dAvgBlerDL.has_key(rnti):
dAvgBlerDL[rnti] = (dAvgBlerDL[rnti] * dNBlerDL[rnti] + tbler)* 1.0 / (dNBlerDL[rnti] + 1)
dAvgCorrDL[rnti] = (dAvgCorrDL[rnti] * dNBlerDL[rnti] + corrupted)* 1.0 / (dNBlerDL[rnti] + 1)
dAvgSINRDL[rnti] = (dAvgSINRDL[rnti] * dNBlerDL[rnti] + 10.0**(sinrdB/10.0))* 1.0 / (dNBlerDL[rnti] + 1)
dlAllSINRDL[rnti].append(sinrdB)
dlAllMCSactDl[rnti].append(mcsact)
dNBlerDL[rnti] = dNBlerDL[rnti] + 1
else:
dNBlerDL[rnti]=1
dAvgBlerDL[rnti]=tbler
dAvgCorrDL[rnti]=corrupted
dAvgSINRDL[rnti]=10.0**(sinrdB/10.0)
dlAllSINRDL[rnti]=[sinrdB]
dlAllMCSactDl[rnti]=[mcsact]
elif vals[0].find('UL')>=0:
if dAvgBlerUL.has_key(rnti):
dAvgBlerUL[rnti] = (dAvgBlerUL[rnti] * dNBlerUL[rnti] + tbler)* 1.0 / (dNBlerUL[rnti] + 1)
dAvgCorrUL[rnti] = (dAvgCorrUL[rnti] * dNBlerUL[rnti] + corrupted)* 1.0 / (dNBlerUL[rnti] + 1)
dAvgSINRUL[rnti] = (dAvgSINRUL[rnti] * dNBlerUL[rnti] + 10.0**(sinrdB/10.0))* 1.0 / (dNBlerUL[rnti] + 1)
dlAllSINRUL[rnti].append(sinrdB)
dlAllMCSactUl[rnti].append(mcsact)
dNBlerUL[rnti] = dNBlerUL[rnti] + 1
else:
dNBlerUL[rnti]=1
dAvgBlerUL[rnti]=tbler
dAvgCorrUL[rnti]=corrupted
dAvgSINRUL[rnti]=10.0**(sinrdB/10.0)
dlAllSINRUL[rnti]=[sinrdB]
dlAllMCSactUl[rnti]=[mcsact]
else:
print "found a TBLER with unknown DL/UL attribution"
resultsDic[filename]=ResDicStruct( dAvgBlerDL,
dAvgBlerUL,
dAvgCorrDL,
dAvgCorrUL,
dNBlerDL,
dNBlerUL,
dAvgSINRDL,
dAvgSINRUL,
dlAllSINRDL,
dlAllSINRUL,
dlAllMCSactDl,
dlAllMCSactUl)
allMarkers=['o',
'*',
's',
'x',
'd',
'+',
'^',
'v',
'<',
'>',
'p',
'.']
markCtr = 0
barWidth=1.0/(1+len(resultsDic));
## PER SIMULATION BAR PLOTS
plt.figure(1)
plt.bar(listOfLabels,[np.mean(resultsDic[x].dAvgBlerDL.values()) for x in filenames],)
plt.figure(2)
plt.bar(listOfLabels,[np.mean(resultsDic[x].dAvgBlerUL.values()) for x in filenames],)
for file in filenames:
## PER SIMULATION STATISTICS
plt.figure(10)
lAllSINRDl = sum(resultsDic[file].dlAllSINRDL.values(), [])
lAux = sorted(lAllSINRDl)
plt.plot(lAux,np.arange(0.0,float(len(lAux)),1)/len(lAux),marker=allMarkers[markCtr],label='%s'%(file))
plt.legend()
plt.figure(11)
lAllSINRUl = sum(resultsDic[file].dlAllSINRUL.values(), [])
lAux = sorted(lAllSINRUl)
plt.plot(lAux,np.arange(0.0,float(len(lAux)),1)/len(lAux),marker=allMarkers[markCtr],label='%s'%(file))
plt.legend()
# ## PER USER STATISTICS
# plt.figure(20)
# for usr in resultsDic[file].dAvgBlerDL:
# print "File %s User %d downlink TBLER %.3f AvgSINR %.2f dB CRPT %.2f"%(file,usr,resultsDic[file].dAvgBlerDL[usr],10.0*np.log10(resultsDic[file].dAvgSINRDL[usr]),resultsDic[file].dAvgCorrDL[usr])
# lAux=sorted(resultsDic[file].dlAllSINRDL[usr])
# plt.plot(lAux,np.arange(0.0,float(len(lAux)),1)/len(lAux),marker=allMarkers[markCtr],label='%s RNTI %s'%(file,usr))
# # plt.figure(21)
# for usr in resultsDic[file].dAvgBlerUL:
# print "File %s User %d uplink TBLER %.3f AvgSINR %.2f dB CRPT %.2f"%(file,usr,resultsDic[file].dAvgBlerUL[usr],10.0*np.log10(resultsDic[file].dAvgSINRUL[usr]),resultsDic[file].dAvgCorrUL[usr])
# for usr in resultsDic[file].dlAllMCSreqDl:
# plt.plot(range(0,len(resultsDic[file].dlAllMCSreqDl[usr])),resultsDic[file].dlAllMCSreqDl[usr],marker='o')
# plt.plot(range(0,len(resultsDic[file].dlAllMCSactDl[usr])),resultsDic[file].dlAllMCSactDl[usr],marker='x')
# for usr in resultsDic[file].dlAllMCSreqUl:
# plt.plot(range(0,len(resultsDic[file].dlAllMCSreqUl[usr])),resultsDic[file].dlAllMCSreqUl[usr],marker='o')
# plt.plot(range(0,len(resultsDic[file].dlAllMCSactUl[usr])),resultsDic[file].dlAllMCSactUl[usr],marker='x')
plt.figure(12)
lAllMCSDl = sum(resultsDic[file].dlAllMCSactDl.values(), [])
plt.plot(lAllMCSDl,lAllSINRDl,linestyle='',marker=allMarkers[markCtr],label='%s'%(file))
plt.legend()
plt.figure(13)
lAllMCSUl = sum(resultsDic[file].dlAllMCSactUl.values(), [])
plt.plot(lAllMCSUl,lAllSINRUl,linestyle='',marker=allMarkers[markCtr],label='%s'%(file))
plt.legend()
markCtr+=1
# plt.figure(5)
# plt.bar([x+barWidth*markCtr for x in resultsDic[file].dAvgBlerUL.keys()],resultsDic[file].dAvgBlerUL.values(), width=barWidth)
plt.figure(1)
plt.ylabel('BLER')
plt.gca().set_xticklabels(listOfLabels)
plt.savefig( 'BLER_DL_plot%s.eps' %(outputFileTag), format='eps')
plt.figure(2)
plt.ylabel('BLER')
plt.gca().set_xticklabels(listOfLabels)
plt.savefig('BLER_UL_plot%s.eps' %(outputFileTag), format='eps')
plt.figure(10)
plt.legend(listOfLabels)
plt.xlabel('SINR (dB)')
plt.ylabel('C.D.F.')
plt.savefig('SINR_DL_plot%s.eps' %(outputFileTag), format='eps')
plt.figure(11)
plt.legend(listOfLabels)
plt.xlabel('SINR (dB)')
plt.ylabel('C.D.F.')
plt.savefig('SINR_UL_plot%s.eps' %(outputFileTag), format='eps')
plt.figure(12)
plt.legend(listOfLabels)
plt.xlabel('MCS')
plt.ylabel('SINR (dB)')
plt.savefig('MCS_DL_plot%s.eps' %(outputFileTag), format='eps')
plt.figure(13)
plt.legend(listOfLabels)
plt.xlabel('MCS')
plt.ylabel('SINR (dB)')
plt.savefig('MCS_UL_plot%s.eps' %(outputFileTag), format='eps')
# plt.show()