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conv_gen.py
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conv_gen.py
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import sionna as sn
from commpy.channels import awgn
from commpy.modulation import PSKModem
import pandas as pd
import random
binary_source = sn.utils.BinarySource()
psk = PSKModem(4)
snr = 10
# lengths = 1024, 1536, 2048
# rates = 1/2, 1/3
# ---- rate=1/2, length=1024 ----
#r = 1/2
#n = 1024
#k = int(r * n)
#enc = sn.fec.conv.ConvEncoder(constraint_length=7,
# rate=r)
#msg = binary_source([17000, k])
#c_12_1024 = enc(msg).numpy().astype(int).tolist()
#print("[info] code rate 1/2 and length 1024 done")
# ---- rate=1/3, length=1024 ----
#r = 1/3
#n = 1024
#k = int(r * n)
#enc = sn.fec.conv.ConvEncoder(constraint_length=7,
# rate=r)
#msg = binary_source([17000, k])
#c_13_1024 = enc(msg).numpy().astype(int).tolist()
#print("[info] code rate 1/3 and length 1024 done")
# ---- rate=1/2, length=1536 ----
#r = 1/2
#n = 1536
#k = int(r * n)
#enc = sn.fec.conv.ConvEncoder(constraint_length=7,
# rate=r)
#msg = binary_source([17000, k])
#c_12_1536 = enc(msg).numpy().astype(int).tolist()
#print("[info] code rate 1/2 and length 1536 done")
# ---- rate=1/3, length=1536 ----
#r = 1/3
#n = 1536
#k = int(r * n)
#enc = sn.fec.conv.ConvEncoder(constraint_length=7,
# rate=r)
#msg = binary_source([17000, k])
#c_13_1536 = enc(msg).numpy().astype(int).tolist()
#print("[info] code rate 1/3 and length 1536 done")
# ---- rate=1/2, length=2048 ----
r = 1/2
n = 2048
k = int(r * n)
enc = sn.fec.conv.ConvEncoder(constraint_length=7,
rate=r)
msg = binary_source([40000, k])
c_12_2048 = enc(msg).numpy().astype(int).tolist()
print("[info] code rate 1/2 and length 2048 done")
# ---- rate=1/2, length=1536 ----
r = 1/3
n = 2048
k = int(r * n)
enc = sn.fec.conv.ConvEncoder(constraint_length=7,
rate=r)
msg = binary_source([40000, k])
c_13_2048 = enc(msg).numpy().astype(int).tolist()
print("[info] code rate 1/3 and length 2048 done")
# ---- Modulation, AWGN and Demodulation utility funcs ----
def psk_modulation(bit_string):
"""
Takes the shift value and returns PSK modulation
"""
return psk.modulate(bit_string)
def psk_demodulation(noisy_signal):
"""
Performs PSK demodulation on the received signal
"""
return psk.demodulate(noisy_signal, demod_type='hard')
def apply_awgn(modulated_signal, snr, coderate):
"""
Adds Additive White Gaussian Noise on the signals
"""
return awgn(modulated_signal, snr, coderate)
def bin_string(bin_array):
"""
Converts a binary array into a binary string
"""
return ''.join(str(bit) for bit in bin_array)
# ---- modulation ----
#c_12_1024_mod = [psk_modulation(x) for x in c_12_1024]
#c_13_1024_mod = [psk_modulation(x) for x in c_13_1024]
#c_12_1536_mod = [psk_modulation(x) for x in c_12_1536]
#c_13_1536_mod = [psk_modulation(x) for x in c_13_1536]
c_12_2048_mod = [psk_modulation(x) for x in c_12_2048]
c_13_2048_mod = [psk_modulation(x) for x in c_13_2048]
print("[info] modulation completed")
# ---- awgn addition ----
#c_12_1024_noisy = [apply_awgn(x, snr, 1/2) for x in c_12_1024_mod]
#c_13_1024_noisy = [apply_awgn(x, snr, 1/3) for x in c_12_1024_mod]
#c_12_1536_noisy = [apply_awgn(x, snr, 1/2) for x in c_12_1536_mod]
#c_13_1536_noisy = [apply_awgn(x, snr, 1/3) for x in c_13_1536_mod]
c_12_2048_noisy = [apply_awgn(x, snr, 1/2) for x in c_12_2048_mod]
c_13_2048_noisy = [apply_awgn(x, snr, 1/3) for x in c_13_2048_mod]
print("[info] awgn completed")
# ---- demodulation ----
#c_12_1024_demod = [psk_demodulation(x) for x in c_12_1024_noisy]
#c_13_1024_demod = [psk_demodulation(x) for x in c_13_1024_noisy]
#c_12_1536_demod = [psk_demodulation(x) for x in c_12_1536_noisy]
#c_13_1536_demod = [psk_demodulation(x) for x in c_13_1536_noisy]
c_12_2048_demod = [psk_demodulation(x) for x in c_12_2048_noisy]
c_13_2048_demod = [psk_demodulation(x) for x in c_13_2048_noisy]
print("[info] demodulation completed")
#c_12_1024_str = [bin_string(x) for x in c_12_1024_demod]
#c_13_1024_str = [bin_string(x) for x in c_13_1024_demod]
#c_12_1536_str = [bin_string(x) for x in c_12_1536_demod]
#c_13_1536_str = [bin_string(x) for x in c_13_1536_demod]
c_12_2048_str = [bin_string(x) for x in c_12_2048_demod]
c_13_2048_str = [bin_string(x) for x in c_13_2048_demod]
print("[info] string conversion done")
encoded = c_12_2048_str + c_13_2048_str
labels = [2 for _ in range(80000)]
random.shuffle(encoded)
print("[info] data has been shuffled")
data = {
'encoded_data_string': encoded,
'encoding': labels
}
df = pd.DataFrame(data, index=None)
df.to_csv("convolutional_2048_variable_rates_4psk_80000.csv", header=True, index=False)
print("[info] file is written")