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 main(): cell_id = 110 N_ant = 2 style = "tx_diversity" N_rb_dl = 50 sfn = 55 Ncp = 1 N_g = 1 cfi = 2 fftl = 2048 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) time_frame = transform_to_time_domain(frame, fftl) print np.shape(time_frame)
def main(): cell_id = 110 N_ant = 2 style = "tx_diversity" N_rb_dl = 50 sfn = 55 Ncp = 1 N_g = 1 cfi = 2 fftl = 2048 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) frames = generate_frames(cell_id, N_rb_dl, N_ant, 20, sfn) ts = generate_ofdm_symbols(frames, N_rb_dl, N_ant, fftl) #scipy.io.savemat("testfile2", mdict={'ts': ts}) print np.shape(ts)
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"