def setUp(self):
self.tb = gr.top_block()
self.tag_key = "subframe"
msg_buf_name = "sequences"
reg_len = 8 # 4 REGs complex QPSK modulated, thus 8 float values
self.cce_len = cce_len = 9 * reg_len
data = [0] * cce_len
self.src = blocks.vector_source_f(data, False, cce_len)
self.descr = lte.descrambler_vfvf(self.tag_key, msg_buf_name, cce_len)
self.snk = blocks.vector_sink_f(cce_len)
self.tb.connect(self.src, self.descr, self.snk)
def setUp(self):
self.tb = gr.top_block()
self.tag_key = "subframe"
msg_buf_name = "sequences"
reg_len = 8 # 4 REGs complex QPSK modulated, thus 8 float values
self.cce_len = cce_len = 9*reg_len
data = [0] * cce_len
self.src = blocks.vector_source_f(data, False, cce_len)
self.descr = lte.descrambler_vfvf(self.tag_key, msg_buf_name, cce_len)
self.snk = blocks.vector_sink_f(cce_len)
self.tb.connect(self.src, self.descr, self.snk)
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)
