def test_004_pcfich(self):
print "\ntest_004_pcfich"
cell_id = 124
ns = 0
N_ant = 2
vlen = 16
style = "tx_diversity"
self.tb2 = gr.top_block()
self.src = blocks.vector_source_c([0]*vlen,False,vlen)
self.demapper = lte_swig.layer_demapper_vcvc(0, vlen, style)
self.snk = blocks.vector_sink_c(vlen)
self.tb2.connect(self.src, self.demapper, self.snk)
self.demapper.set_N_ant(N_ant)
data = []
exp_res = []
for cfi in range(4):
cfi_seq = lte_test.get_cfi_sequence(cfi+1)
scr_cfi_seq = lte_test.scramble_cfi_sequence(cfi_seq, cell_id, ns)
mod_cfi_seq = lte_test.qpsk_modulation(scr_cfi_seq)
exp_res.extend(mod_cfi_seq)
lay_cfi_seq = lte_test.layer_mapping(mod_cfi_seq, N_ant, style)
for i in range(len(lay_cfi_seq)):
data.extend(lay_cfi_seq[i])
self.src.set_data(data)
self.tb2.run()
res = self.snk.data()
self.assertComplexTuplesAlmostEqual(res, exp_res)
def test_004_pcfich(self):
print "\ntest_004_pcfich"
cell_id = 124
ns = 0
N_ant = 2
vlen = 16
style = "tx_diversity"
self.tb2 = gr.top_block()
self.src = blocks.vector_source_c([0] * vlen, False, vlen)
self.demapper = lte.layer_demapper_vcvc(0, vlen, style)
self.snk = blocks.vector_sink_c(vlen)
self.tb2.connect(self.src, self.demapper, self.snk)
self.demapper.set_N_ant(N_ant)
data = []
exp_res = []
for cfi in range(4):
cfi_seq = lte_test.get_cfi_sequence(cfi + 1)
scr_cfi_seq = lte_test.scramble_cfi_sequence(cfi_seq, cell_id, ns)
mod_cfi_seq = lte_test.qpsk_modulation(scr_cfi_seq)
exp_res.extend(mod_cfi_seq)
lay_cfi_seq = lte_test.layer_mapping(mod_cfi_seq, N_ant, style)
for i in range(len(lay_cfi_seq)):
data.extend(lay_cfi_seq[i])
self.src.set_data(data)
self.tb2.run()
res = self.snk.data()
self.assertComplexTuplesAlmostEqual(res, exp_res)
def test_002_pcfich(self):
print "test_002_pcfich"
# some constants
cell_id = 124
N_ant = 2
style = "tx_diversity"
vlen = 16
ns = 0
# new top_block because even the interface changes
self.tb2 = gr.top_block()
# generate test data together with the expected output
data = []
exp_res = []
for cfi in range(4):
cfi_seq = lte_test.get_cfi_sequence(cfi + 1)
scr_cfi_seq = lte_test.scramble_cfi_sequence(cfi_seq, cell_id, ns)
mod_cfi_seq = lte_test.qpsk_modulation(scr_cfi_seq)
lay_cfi_seq = lte_test.layer_mapping(mod_cfi_seq, N_ant, style)
lay_cfi_prep = lte_test.prepare_for_demapper_block(
lay_cfi_seq, N_ant, style)
exp_res.extend(lay_cfi_prep)
pc_cfi_seq = lte_test.pre_coding(lay_cfi_seq, N_ant, style)
pc_cfi_seq = [
pc_cfi_seq[0][i] + pc_cfi_seq[1][i]
for i in range(len(pc_cfi_seq[0]))
]
data.extend(pc_cfi_seq)
# dummy channel estimates
intu2 = [complex(1, 0)] * len(data)
intu3 = [complex(1, 0)] * len(data)
# get blocks
self.src1 = blocks.vector_source_c(data, False, vlen)
self.src2 = blocks.vector_source_c(intu2, False, vlen)
self.src3 = blocks.vector_source_c(intu3, False, vlen)
self.pd = lte.pre_decoder_vcvc(1, 1, vlen, style)
self.snk = blocks.vector_sink_c(vlen)
# connect all blocks
self.tb2.connect(self.src1, (self.pd, 0))
self.tb2.connect(self.src2, (self.pd, 1))
self.tb2.connect(self.src3, (self.pd, 2))
self.tb2.connect(self.pd, self.snk)
self.pd.set_N_ant(N_ant)
# run flowgraph
self.tb2.run()
# compare result with expected result
res = self.snk.data()
self.assertComplexTuplesAlmostEqual(res, exp_res)
def test_002_pcfich(self):
print "test_002_pcfich"
# some constants
cell_id = 124
N_ant = 2
style = "tx_diversity"
vlen = 16
ns = 0
# new top_block because even the interface changes
self.tb2 = gr.top_block()
# generate test data together with the expected output
data = []
exp_res = []
for cfi in range(4):
cfi_seq = lte_test.get_cfi_sequence(cfi + 1)
scr_cfi_seq = lte_test.scramble_cfi_sequence(cfi_seq, cell_id, ns)
mod_cfi_seq = lte_test.qpsk_modulation(scr_cfi_seq)
lay_cfi_seq = lte_test.layer_mapping(mod_cfi_seq, N_ant, style)
lay_cfi_prep = lte_test.prepare_for_demapper_block(lay_cfi_seq, N_ant, style)
exp_res.extend(lay_cfi_prep)
pc_cfi_seq = lte_test.pre_coding(lay_cfi_seq, N_ant, style)
pc_cfi_seq = [pc_cfi_seq[0][i] + pc_cfi_seq[1][i] for i in range(len(pc_cfi_seq[0]))]
data.extend(pc_cfi_seq)
# dummy channel estimates
intu2 = [complex(1, 0)] * len(data)
intu3 = [complex(1, 0)] * len(data)
# get blocks
self.src1 = blocks.vector_source_c(data, False, vlen)
self.src2 = blocks.vector_source_c(intu2, False, vlen)
self.src3 = blocks.vector_source_c(intu3, False, vlen)
self.pd = lte.pre_decoder_vcvc(1, vlen, style)
self.snk = blocks.vector_sink_c(vlen)
# connect all blocks
self.tb2.connect(self.src1, (self.pd, 0))
self.tb2.connect(self.src2, (self.pd, 1))
self.tb2.connect(self.src3, (self.pd, 2))
self.tb2.connect(self.pd, self.snk)
self.pd.set_N_ant(N_ant)
# run flowgraph
self.tb2.run()
# compare result with expected result
res = self.snk.data()
self.assertComplexTuplesAlmostEqual(res, exp_res)
def test_002_pcfich(self):
print "pcfich test"
cfi = 2
cell_id = 387
vlen = 32
# Generate descrambling sequences.
seqs = []
for ns in range(10):
#scr = lte_test.scramble_cfi_sequence([0] * 32, cell_id, ns)
scr = lte_test.get_pcfich_scrambling_sequence(cell_id, ns)
seqs.append(lte_test.nrz_encoding(scr))
# Generate a CFI sequence
cfi_seq = lte_test.get_cfi_sequence(cfi)
nrz_cfi_seq = lte_test.nrz_encoding(cfi_seq)
# Generate scrambled sequences
nvecs = 100
scr_cfi_seqs = []
expres = []
for ns in range(nvecs):
scr_cfi_seqs.extend(
lte_test.nrz_encoding(
lte_test.scramble_cfi_sequence(cfi_seq, cell_id, ns % 10)))
expres.extend(nrz_cfi_seq)
# Get tags
tags = lte_test.get_tag_list(nvecs, 10, self.tag_key, "test_src")
# Get blocks for test flowgraph
src = blocks.vector_source_f(scr_cfi_seqs, False, vlen)
src.set_data(scr_cfi_seqs, tags)
descr = lte.descrambler_vfvf(self.tag_key, "cfi_seqs", vlen)
descr.set_descr_seqs(seqs)
snk = blocks.vector_sink_f(vlen)
# Create, connect, run fg
tb = gr.top_block()
tb.connect(src, descr, snk)
tb.run()
# Get result
res = snk.data()
# Check results!
self.assertFloatTuplesAlmostEqual(res, expres)
def test_002_pcfich(self):
print "pcfich test"
cfi = 2
cell_id = 387
vlen =32
# Generate descrambling sequences.
seqs = []
for ns in range(10):
#scr = lte_test.scramble_cfi_sequence([0] * 32, cell_id, ns)
scr = lte_test.get_pcfich_scrambling_sequence(cell_id, ns)
seqs.append(lte_test.nrz_encoding(scr))
# Generate a CFI sequence
cfi_seq = lte_test.get_cfi_sequence(cfi)
nrz_cfi_seq = lte_test.nrz_encoding(cfi_seq)
# Generate scrambled sequences
nvecs = 100
scr_cfi_seqs = []
expres = []
for ns in range(nvecs):
scr_cfi_seqs.extend(lte_test.nrz_encoding(lte_test.scramble_cfi_sequence(cfi_seq, cell_id, ns%10)))
expres.extend(nrz_cfi_seq)
# Get tags
tags = lte_test.get_tag_list(nvecs, 10, self.tag_key, "test_src")
# Get blocks for test flowgraph
src = blocks.vector_source_f(scr_cfi_seqs, False, vlen)
src.set_data(scr_cfi_seqs, tags)
descr = lte.descrambler_vfvf(self.tag_key, "cfi_seqs", vlen)
descr.set_descr_seqs(seqs)
snk = blocks.vector_sink_f(vlen)
# Create, connect, run fg
tb = gr.top_block()
tb.connect(src, descr, snk)
tb.run()
# Get result
res = snk.data()
# Check results!
self.assertFloatTuplesAlmostEqual(res, expres)
