PATENT CLAIM ANALYSIS

Application Number: 16518597
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-11
Patent Classification: ["375", "267000"]

Abstract:
Channel state information (CSI) feedback in a wireless communication system is disclosed. A precoding matrix is generated for multi-antenna transmission based on precoding matrix indicator (PMI) feedback, wherein the PMI indicates a choice of precoding matrix derived from a matrix multiplication of two matrices from a first codebook and a second codebook. In one embodiment, the first codebook comprises at least a first precoding matrix constructed with a first group of adjacent Discrete-Fourier-Transform (DFT) vectors. In another embodiment, the first codebook comprises at least a second precoding matrix constructed with a second group of uniformly distributed non-adjacent DFT vectors. In yet another embodiment, the first codebook comprises at least a first precoding matrix and a second precoding matrix, where said first precoding matrix is constructed with a first group of adjacent DFT vectors, and said second precoding matrix is constructed with a second group of uniformly distributed non-adjacent DFT vectors.

Claim (Index 6):
A method of channel state information (CSI) feedback in a wireless communication system, comprising:\n receiving one or more precoding matrix indicator (PMI) signals from a remote transceiver; and generating a precoding matrix W derived from a matrix multiplication of two matrices W 1  and W 2 , where said precoding matrix W is applicable to precoding one or more layers of data streams, matrix W 1  selected from a first codebook C 1  based on a first group of bits in the PMI signals, and matrix W 2  selected from a second codebook C 2  based on a second group of bits in the PMI signals, wherein the first codebook C 1  comprises at least a first W 1  matrix and a second W 1  matrix, wherein said at least first W 1  matrix is constructed with a first group of adjacent Discrete Fourier Transform (DFT) vectors, and said at least second W 1  matrix is constructed with a second group of non-adjacent DFT vectors, and \ue89e B = [ b 0 b 1 \u2026 b 31 ] , \n \ue89e \ue89e [ B ] 1 + m , 1 + n = e j \ue89e 2 \ue89e \ue89e \u03c0 \ue89e \ue89e mn 32 , m = 0 , \u2026 \ue89e \ue89e N t 2 - 1 , \ue89e n = 0 , 1 , \u2026 \ue89e , 31 , \n \ue89e \ue89e for \ue89e \ue89e i 1 = 0 , 1 , \u2026 \ue89e , 7 \ue89e : \ue89e X ( i 1 ) \u2208 { \u230a b 2 \ue89e i 1 \ue89e mod \ue89e \ue89e 16 b ( 2 \ue89e i 1 + 1 ) \ue89e \ue89e mod \ue89e \ue89e 16 b ( 2 \ue89e i 1 + 2 ) \ue89e \ue89e mod \ue89e \ue89e 16 b ( 2 \ue89e i 1 + 3 ) \ue89e mod \ue89e \ue89e 16 \u230b } , \n \ue89e \ue89e b n \ue8a0 ( m + 1 ) = e j \ue89e 2 \ue89e \ue89e \u03c0 \ue89e \ue89e mn 16 , n = 0 , 1 , \u2026 \ue89e , 15 , \ue89e m = 0 , .1 \ue89e for \ue89e \ue89e i 1 = 8 , 9 , \u2026 \ue89e , 15 \ue89e : \ue89e \n \ue89e X ( i 1 ) \u2208 { \u230a b ( i 1 - 8 ) \ue89e mod \ue89e \ue89e 32 b ( i 1 - 8 ) + 8 \ue89e \ue89e mod \ue89e \ue89e 32 b ( i 1 - 8 ) + 16 \ue89e \ue89e mod \ue89e \ue89e 32 b ( i 1 - 8 ) + 24 \ue89e \ue89e mod \ue89e \ue89e 32 \u230b } \ue89e b n \ue8a0 ( m + 1 ) = e j \ue89e 2 \ue89e \ue89e \u03c0 \ue89e \ue89e mn 32 , \ue89e n = 0 , 1 , \u2026 \ue89e , 31 , \ue89e m = 0 , .1 \ue89e W 1 ( i 1 ) = [ X ( i 1 ) 0 0 X ( i 1 ) ] , \n \ue89e \ue89e C 1 = { W 1 ( 0 ) , W 1 ( 1 ) , W 1 ( 2 ) , \u2026 \ue89e , W 1 ( 15 ) } , N t \u22654 is the number of transmit antennas corresponding to W.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 100.0
- Lexical Diversity: 2.7377
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15132024', '14177547', '15055195', '14863156', '15698015']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5512486108759818
- 35 USC 102 Novelty (BERT): 0.6063930083493754
- Combined Prediction Score: 0.5567630506233211
- Mean Citation Score: 488.040322
- Max Citation Score: 516.0027
- Similarity Product: 511.350984938246

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test