def main():
cell_id = 124
N_ant = 1
style = "tx_diversity"
N_rb_dl = 50
sfn = 0
Ncp = 1
N_g = 1
cfi = 2
trollframe = lte_phy.generate_phy_frame(cell_id, N_rb_dl, N_ant)
for ant in [1, 2, 4]:
frame = lte_phy.generate_phy_frame(cell_id, N_rb_dl, ant)
print np.shape(frame)
mib = pack_mib(50, 0, 1.0, 511)
bch = encode_bch(mib, N_ant)
pbch = encode_pbch(bch, cell_id, N_ant, style)
if N_ant == 1:
pbch = [pbch]
pn_seq = pn_generator(220, cell_id)
rs_seq = rs_generator(3, 4, cell_id, Ncp)
pcfich = encode_pcfich(2, cell_id, 4, N_ant)
N_CCE = get_n_cce_available(N_ant, N_rb_dl, cfi, N_g)
my_pdcchs = get_all_pdcchs(N_CCE)
ns = 0
def generate_subframe(pdcch_data, hi, N_rb_dl, cell_id, N_ant, N_g, n_sub,
cfi):
cfi_syms = cfi
if N_rb_dl < 10:
cfi_syms = cfi_syms + 1
ns = n_sub * 2
n_carriers = 12 * N_rb_dl
subframe = np.zeros((N_ant, 14, n_carriers), dtype=np.complex)
pcfich = encode_pcfich(cfi, cell_id, ns, N_ant)
style = "tx_diversity"
cp_len = "normal"
phich = encode_phich(hi, N_rb_dl, N_g, cp_len, ns, cell_id, N_ant, style)
pdcch = encode_pdcch(pdcch_data, N_rb_dl, N_ant, style, cfi, N_g, ns,
cell_id)
if N_ant == 1:
pdcch = [pdcch]
for p in range(N_ant):
subframe[p][0] = map_pcfich_to_symbol(subframe[p][0], pcfich[p],
N_rb_dl, cell_id, p)
subframe[p][0] = map_phich_to_symbol(subframe[p][0], phich[p], N_rb_dl,
cell_id, N_g)
subframe[p][0:cfi_syms] = map_pdcch_to_symbols(subframe[p][0:cfi_syms],
pdcch[p], N_rb_dl,
cell_id, N_g, cfi)
return subframe
def main():
cell_id = 124
N_ant = 1
style = "tx_diversity"
N_rb_dl = 50
sfn = 0
Ncp = 1
N_g = 1
cfi = 2
trollframe = lte_phy.generate_phy_frame(cell_id, N_rb_dl, N_ant)
for ant in [1, 2, 4]:
frame = lte_phy.generate_phy_frame(cell_id, N_rb_dl, ant)
print np.shape(frame)
mib = pack_mib(50, 0, 1.0, 511)
bch = encode_bch(mib, N_ant)
pbch = encode_pbch(bch, cell_id, N_ant, style)
if N_ant == 1:
pbch = [pbch]
pn_seq = pn_generator(220, cell_id)
rs_seq = rs_generator(3, 4, cell_id, Ncp)
pcfich = encode_pcfich(2, cell_id, 4, N_ant)
N_CCE = get_n_cce_available(N_ant, N_rb_dl, cfi, N_g)
my_pdcchs = get_all_pdcchs(N_CCE)
ns = 0
def generate_frame(pbch, N_rb_dl, cell_id, sfn, N_ant):
n_carriers = 12 * N_rb_dl
frame = np.zeros((N_ant, 140, n_carriers), dtype=np.complex)
Ncp = 1
pcfich = encode_pcfich(2, cell_id, 0, N_ant)
for p in range(N_ant):
frame[p] = map_pbch_to_frame(frame[p], pbch, cell_id, sfn, p)
frame[p] = frame_map_rs_symbols(frame[p], N_rb_dl, cell_id, Ncp, p)
frame[p] = map_pcfich_to_frame(frame[p], pcfich[p], N_rb_dl, cell_id, p)
return frame
def generate_subframe(pdcch_data, hi, N_rb_dl, cell_id, N_ant, N_g, n_sub, cfi):
cfi_syms = cfi
if N_rb_dl < 10:
cfi_syms = cfi_syms + 1
ns = n_sub * 2
n_carriers = 12 * N_rb_dl
subframe = np.zeros((N_ant, 14, n_carriers), dtype=np.complex)
pcfich = encode_pcfich(cfi, cell_id, ns, N_ant)
style = "tx_diversity"
cp_len = "normal"
phich = encode_phich(hi, N_rb_dl, N_g, cp_len, ns, cell_id, N_ant, style)
pdcch = encode_pdcch(pdcch_data, N_rb_dl, N_ant, style, cfi, N_g, ns, cell_id)
if N_ant == 1:
pdcch = [pdcch]
for p in range(N_ant):
subframe[p][0] = map_pcfich_to_symbol(subframe[p][0], pcfich[p], N_rb_dl, cell_id, p)
subframe[p][0] = map_phich_to_symbol(subframe[p][0], phich[p], N_rb_dl, cell_id, N_g)
subframe[p][0:cfi_syms] = map_pdcch_to_symbols(subframe[p][0:cfi_syms], pdcch[p], N_rb_dl, cell_id, N_g, cfi)
return subframe
def main():
cell_id = 124
N_ant = 1
style= "tx_diversity"
N_rb_dl = 50
sfn = 0
Ncp = 1
N_g = 1
cfi = 2
trollframe = lte_phy.generate_phy_frame(cell_id, N_rb_dl, N_ant)
mib = pack_mib(50,0,1.0, 511)
bch = encode_bch(mib, N_ant)
pbch = encode_pbch(bch, cell_id, N_ant, style)
if N_ant == 1:
pbch = [pbch]
pn_seq = pn_generator(220, cell_id)
rs_seq = rs_generator(3, 4, cell_id, Ncp)
pcfich = encode_pcfich(2, cell_id, 4, N_ant)
N_CCE = get_n_cce_available(N_ant, N_rb_dl, cfi, N_g)
my_pdcchs = get_all_pdcchs(N_CCE)
ns = 0
pdcch = encode_pdcch(my_pdcchs, N_rb_dl, N_ant, style, cfi, N_g, ns, cell_id)
if N_ant == 1:
pdcch = [pdcch]
org_frame = generate_frame(pbch, N_rb_dl, cell_id, sfn, N_ant)
cfi_reg = calculate_pcfich_reg_pos(N_rb_dl, cell_id)
free_reg = get_free_reg_pos(N_rb_dl, cell_id)
n_phich_groups = get_n_phich_groups(N_g, N_rb_dl)
phich_pos = get_phich_pos(N_rb_dl, cell_id, N_g)
symbol = [0] * 12 * N_rb_dl
phich = ["PHICH"] * 12 * n_phich_groups
pcfi = ["CFI"] * 16
symbol = map_pcfich_to_symbol(symbol, pcfi, N_rb_dl, cell_id, 0)
symbol = map_phich_to_symbol(symbol, phich, N_rb_dl, cell_id, N_g)
print "\n\noccupied"
occ = get_occupied_regs(N_rb_dl, cell_id, N_g)
pdcch_pos = get_pdcch_reg_pos(N_rb_dl, cell_id, N_g, cfi)
symbols = org_frame[0][0:cfi]
print np.shape(symbols)
print np.shape(pdcch)
map_pdcch_to_symbols(symbols, pdcch[0], N_rb_dl, cell_id, N_g, cfi)
print "pdcch done"
# for i in range(len(symbol)):
# print "{0}\t{1}".format(i, symbol[i])
# n_sub = 0
# ns = 2* n_sub
# print np.shape(org_frame)
# stream = generate_stream_frame(org_frame, N_ant)
# print np.shape(stream)
frame = []
for i in range(N_ant):
frame.append([])
for n_sub in range(10):
N_CCE = get_n_cce_available(N_ant, N_rb_dl, cfi, N_g)
pdcchs = get_all_pdcchs(N_CCE)
n_groups = get_n_phich_groups(N_g, N_rb_dl)
hi = []
for i in range(8*n_groups):
hi.append(i%2)
subframe = generate_subframe(pdcchs, hi, N_rb_dl, cell_id, N_ant, N_g, n_sub, cfi)
for ant in range(N_ant):
frame[ant].extend(subframe[ant])
for p in range(N_ant):
frame[p] = map_pbch_to_frame_layer(frame[p], pbch[p], cell_id, sfn, p)
frame[p] = frame_map_rs_symbols(frame[p], N_rb_dl, cell_id, Ncp, p)
print np.shape(frame)
print np.shape(org_frame)
# for i in range(len(frame[0][0])):
# print "{0}\t{1}\t{2}".format(i, frame[0][0][i], org_frame[0][0][i])
N_CCE = get_n_cce_available(N_ant, N_rb_dl, cfi, N_g)
for i in range(len(N_rb_dl_lut)):
N_rb_dl = N_rb_dl_lut[i]
N_CCE = get_n_cce_available(N_ant, N_rb_dl, cfi, N_g)
pos = get_pdcch_reg_pos(N_rb_dl, cell_id, N_g, cfi)
print "{0}\t{1}\t{2}".format(N_CCE, N_CCE*9, np.shape(pos))
print "this is the END"
k = int((k_mean + (N_sc_rb / 2) * math.floor(n * N_rb_dl / 2)) % (N_rb_dl * N_sc_rb))
for i in range(6):
if i % 3 != cell_id_mod3:
pcfich_pos.append(k + i)
return pcfich_pos
if __name__ == "__main__":
cell_id = 124
N_ant = 2
style = "tx_diversity"
N_rb_dl = 6
sfn = 0
Ncp = 1
mib = pack_mib(50, 0, 1.0, 511)
bch = encode_bch(mib, N_ant)
pbch = encode_pbch(bch, cell_id, N_ant, style)
pn_seq = pn_generator(220, cell_id)
rs_seq = rs_generator(3, 4, cell_id, Ncp)
frame = generate_frame(pbch, N_rb_dl, cell_id, sfn, N_ant)
pcfich = encode_pcfich(2, cell_id, 4, N_ant)
print calculate_pcfich_pos(N_rb_dl, cell_id)
stream = generate_stream_frame(frame, 2)
print np.shape(stream)