PATENT CLAIM ANALYSIS

Application Number: 15773796
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-02
Patent Classification: ["375", "267000"]

Abstract:
A method, in a radio network node, comprises identifying, among a predetermined codebook of precoding matrix codewords, a subset of precoding matrix codewords that are not to be reported by the wireless device ( 90 ) in channel-state-information, CSI, feedback, and transmitting, to the wireless device ( 90 ), a bitmap identifying the subset of precoding matrix codewords that are not to be reported by the wireless device ( 90 ); where each bit in the bitmap corresponds to only one combination of a first dimension index l′ 1  and a second dimension index l′ 2  out of the possible combinations of the first dimension index l′ 1  and the second dimension index l′ 2 , and where the first dimension index l′ 1  and the second dimension index l′ 2  identify a two-dimensional beam, the two-dimensional beam being defined by a vector of complex numbers comprised within at least one column of a precoding matrix codeword in the codebook.

Claim (Index 45):
The method of  claim 41 , wherein each precoding matrix codeword is defined as a matrix whose columns are determined using at least one pair of dimension indices, each pair of dimension indices comprising a first dimension index and a second dimension index, and wherein each bit of a predetermined value in the bitmap indicates one or more precoding matrix codewords where, for each precoding matrix codeword, the precoding matrix codeword is not allowed to be reported in CSI feedback if, for at least one pair of dimension indices for the precoding matrix codeword, the first dimension index is equal to the first dimension index l\u2032 1  and the second dimension index is equal to the second dimension index l\u2032 2 .

Metadata:
- Claim Count in Document: 53.0
- Percentile: 93.0
- Lexical Diversity: 2.45714
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15183992', '15022275', '16064924', '15565200', '14557800']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4575494805379311
- 35 USC 102 Novelty (BERT): 0.5275950232518417
- Combined Prediction Score: 0.4645540348093221
- Mean Citation Score: 269.352808
- Max Citation Score: 313.89545
- Similarity Product: 194.4442493463814

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

Dataset: test