def send_polarfile(XN,N,channel_p,compound_plist_u,derate,use_adjusted_Rate):
#----------R and G here compound plist is not important
I_ord=pcon.getreliability_order(N)
compound_plist=list(compound_plist_u) #best channel first
compound_plist.sort()
Ratelist = pl.getRatelist(compound_plist,derate) #best rate first
Glist=[int(N*r) for r in Ratelist]
Glist=adjustG(Glist)
R=pl.getRatelist([channel_p],derate)[0] #calculates rate for given channel
G=int(R*N)
Iterhistory={}
# for first one Tx
Iter=0
Iter_p=compound_plist[0]
Iter_R=Ratelist[0]
Iter_G=Glist[0]
Iter_I=I_ord[:Iter_G]
#------------------for filing Tx side
# reverse arikan :: THIS IS OF SIZE N
UN_N=ec.polarencode(XN,N)
UN=ec.getUN(UN_N,Iter_I,False)
Iter_UN_ind=range(len(UN))
Iter_UN=[UN[i] for i in Iter_UN_ind]
#picking data from frozen channels
F=list(set(range(N))-set(Iter_I))
FD=ec.getUN(UN_N,F,True)
Iter_XN=XN
#--------------------Note channel_p used for flipping
Iter_YN=pl.BSCN(channel_p,Iter_XN)
#-----------------------decoding based on this tx only
#-----------------Rx side
Iter_UN_hat=ec.polarSCdecodeG(Iter_YN,N,Iter_p,Iter_I,list(FD),False)
Iter_UN_decoded=ec.getUN(Iter_UN_hat,Iter_I,False)
#storage needed for final decoding
Iterhistory[Iter]=[Iter_UN_ind,Iter_UN_decoded,Iter_YN]
final_Iter=Iter
final_decoded= Iterhistory[0][1]
final_UN_hat=Iter_UN_hat
final_XN=ec.polarencode(final_UN_hat,N)
achieved_rate=float(len(UN))/((final_Iter+1)*N)
return (achieved_rate,np.array(final_XN))
def getGChMCK(design_p, N, K, runsim):
p = design_p
n = int(ma.log(N, 2))
err = np.zeros(N)
print "MC(K)..." + str(runsim)
for i in range(runsim):
UN = np.random.randint(2, size=N)
UN_decoded = ec.polarSCdecode(pl.BSCN(p, ec.polarencode(UN, len(UN))),
len(UN), p)
err = err + np.logical_xor(UN, UN_decoded)
aZN = err / runsim
sZN = np.sort(aZN)
good_channels_all = aZN.argsort().tolist()[:K]
good_channels = good_channels_all[:K]
ber_exp = np.log10(sZN).tolist()
rgood_channels = ec.bitreverseorder(good_channels, n)
rgood_channels_all = ec.bitreverseorder(good_channels_all, n)
f2 = open(
"./simresults/GC/GCMK_" + str(N) + "_" + str(p).replace(".", "p") +
"_" + str(K) + ".txt", 'w')
json.dump(rgood_channels, f2)
f3 = open("./simresults/GC/GCMK_ALL" + str(N) + ".txt", 'w')
json.dump(rgood_channels_all, f3)
return (rgood_channels, ber_exp[:K], ber_exp)
def polarfile_known(XN, p, pattern, I):
N = len(XN)
n = int(ma.log(N, 2))
#Tx side
UN = ec.polarencode(XN, N) # reverse arikan
#picking data from frozen channels
F = list(set(range(N)) - set(I))
FD = ec.getUN(UN, F, True)
YN = np.logical_xor(XN, pattern)
#rx side
UN_decoded = ec.polarSCdecodeG(YN, N, p, I, FD, False)
XN_decoded = ec.polarencode(UN_decoded, N)
return XN_decoded
def polarfile(XN, channel_p, design_p, I):
p = channel_p
N = len(XN)
n = int(ma.log(N, 2))
#Tx side
UN = ec.polarencode(XN, N) # reverse arikan
#picking data from frozen channels
F = list(set(range(N)) - set(I))
FD = ec.getUN(UN, F, True)
YN = pl.BSCN(p, XN)
#rx side
UN_decoded = ec.polarSCdecodeG(YN, N, design_p, I, FD, False)
XN_decoded = ec.polarencode(UN_decoded, N)
return XN_decoded
def send_rateless_file_kRx(XN,N,channel_p,compound_plist_u,derate,use_adjusted_Rate):
I_ord=pcon.getreliability_order(N)
compound_plist=list(compound_plist_u) #best channel first
compound_plist.sort()
Ratelist = pl.getRatelist(compound_plist,derate) #best rate first
Glist=[int(N*r) for r in Ratelist]
#print "will be working with below to meet R R/2 R/3 R/4 constraint"
Glist=adjustG(Glist)
R=pl.getRatelist([channel_p],derate)[0] #calculates rate for given channel
G=int(R*N)
if use_adjusted_Rate:
G=Glist[compound_plist.index(channel_p)]
#----------------------------------------------------Iterations start
Iterhistory={} #contains indexes of UN sent in each iteration
decoded=False
#------------------for filing Tx side
# reverse arikan :: THIS IS OF SIZE N
UN_N=ec.polarencode(XN,N)
# for first Tx
Iter=0
Iter_p=compound_plist[0]
Iter_R=Ratelist[0]
Iter_G=Glist[0]
Iter_I=I_ord[:Iter_G]
UN=ec.getUN(UN_N,Iter_I,False)
#print Iter_I
#print UN
Iter_UN=UN
Iter_UN_ind=range(len(UN))
F=list(set(range(N))-set(Iter_I))
FD=ec.getUN(UN_N,F,True)
#-------------------------------------------Forward decoding
#in case of first iteration FD, XN is used
#from next iteration more bits from reverse Arikan UN is used
while not decoded:
if Iter==0:
Iter_XN=XN
else:
Iter_UN=[UN[i] for i in Iter_UN_ind]
Iter_D=np.zeros(N-Iter_G,dtype=int).tolist() #frozen data
Iter_XN=ec.polarencodeG(Iter_UN,N,Iter_I,list(Iter_D),False) #data goes in as per R.I
#--------------------Note channel_p used for flipping
Iter_YN=pl.BSCN(channel_p,Iter_XN)
#-----------------------decoding based on this tx only
if Iter==0:
Iter_UN_hat=ec.polarSCdecodeG(Iter_YN,N,Iter_p,Iter_I,list(FD),False)
else:
Iter_UN_hat=ec.polarSCdecodeG(Iter_YN,N,Iter_p,Iter_I,list(Iter_D),False)
Iter_UN_decoded=ec.getUN(Iter_UN_hat,Iter_I,False)
#storage needed for final decoding
Iterhistory[Iter]=[Iter_UN_ind,Iter_UN_decoded,Iter_YN]
#For simulation of Rx knows channel case
#Assuming Rx knows the capacity of the channel
#hence as long as the rate used is above
#the capacity is declares Not decodable
#the rate at which decoding is possible and the rate achieved is same
if not is_decodable_kRx(G,Iter_G):
#print "here"
# picking out all the channels that are suspected to be bad in past
# iterations and putting them for next iteration.
# Note first iteration Whole UN is sent
# in next only suspected bad channels are sent
prev_I=Iter_I
Iter+=1
#New channel params
Iter_p=compound_plist[Iter]
Iter_R=Ratelist[Iter]
Iter_G=Glist[Iter]
Iter_I=I_ord[:Iter_G]
tosend_ind=[]
for i in range(Iter):
#picking out the bad channels from prev iterations
sent_ind=Iterhistory[i][0]
sent_ind_last_iter=sent_ind[:Glist[Iter-1]]
bad_ind=sent_ind_last_iter[Iter_G:]
tosend_ind.extend(bad_ind)
Iter_UN_ind=list(set(tosend_ind))
Iter_UN_ind.sort()
else:
#the final reliable good channels is that of last iteration
final_Iter=Iter
final_G=Iter_G
final_p=Iter_p
final_I=I_ord[:final_G]
#~ if Iter=0:
#~ final_XN=ec.polarencode(Iter_UN_hat,N) #in case first iteration is last
decoded= True
#------------------------------------------------final decoding
#number retrodecoding needed = iter-1
#print Iter
for Iter in range(final_Iter-1,-1,-1):
#print "retro"+str(Iter)
Prev_correct_ind=Iterhistory[Iter+1][0]
Prev_correct_data=Iterhistory[Iter+1][1]
IncFreeze_ind_UN=[i for i in Prev_correct_ind if i in Iterhistory[Iter][0]]
#basically intersection with some order picking the indexes of the prev iter frozen data needed in this iter i.e, 12
#print IncFreeze_ind_UN
#picking the data i.e. u12
IncFreeze_ind_ind=[Prev_correct_ind.index(j) for j in IncFreeze_ind_UN]
IncFreeze_data=[Prev_correct_data[k] for k in IncFreeze_ind_ind]
#print IncFreeze_data
#finding the channels where 12 went in this iter 16 15 14 "13"<--- here
#i.e, removing the top channel_G channels (as they are good) from top Iter_i_G channels
Iter_G=Glist[Iter]
IncFreeze_ind=I_ord[:Iter_G][final_G:]
if Iter==0:
Iter_D=FD
else:
Iter_D=np.zeros(N-Iter_G,dtype=int).tolist() #frozen data as per iteration
Iter_YN=Iterhistory[Iter][2]
Iter_UN_hat=ec.polarIncFrzSCdecodeG(Iter_YN,N,final_p,final_I,list(Iter_D),IncFreeze_ind,IncFreeze_data,False)
Iter_UN_decoded=ec.getUN(Iter_UN_hat,final_I,False)
#history update
Iterhistory_ind_upd=list(Prev_correct_ind)
Iterhistory_ind_upd.extend(Iterhistory[Iter][0][:final_G]) #ie adding 5,6,11 to 4,10,12
Iterhistory_data_upd=np.hstack((Prev_correct_data,Iter_UN_decoded)) #same as extend
(Iterhistory[Iter][0],Iterhistory[Iter][1])=ml.sortAextend(Iterhistory_ind_upd,Iterhistory_data_upd.tolist())
final_decoded= Iterhistory[0][1]
final_XN=ec.polarencode(Iter_UN_hat,N)
achieved_rate=float(len(UN))/((final_Iter+1)*N)
return (achieved_rate,np.array(final_XN))
