PATENT CLAIM ANALYSIS

Application Number: 16059948
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["370", "329000"]

Abstract:
A precoding matrix set determining method and apparatus, and a parameter indication information sending method and apparatus are provided. The precoding matrix set determining method include: determining, by a first network device, a parameter used for determining a precoding matrix set, where the parameter includes at least one of a phase parameter, an amplitude parameter, a quantity of vectors in the precoding matrix set, a quantity of vectors in a first codebook set in dual-codebook feedback, and a quantity of vectors in a second codebook set in the dual-codebook feedback, and the parameter is not fixed; and using the parameter to determine the precoding matrix set, where the precoding matrix set includes at least one precoding matrix. By using this solution, flexibility of feeding back a precoding matrix indicator is improved.

Claim (Index 9):
The method according to  claim 8 , wherein:\n for a dual-codebook structure, W=W1*W2, W \ue89e \ue89e 1 = [ U 0 0 U ] , W1 is a diagonal matrix, each U in W1 is a precoding matrix subset, each U is corresponding to a group of parameters, and U corresponding to the group of parameters is determined according to the group of parameters.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 96.0
- Lexical Diversity: 2.53448
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15206062', '16021786', '15808318', '15747135', '15895666']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5797572429756683
- 35 USC 102 Novelty (BERT): 0.5674429603522217
- Combined Prediction Score: 0.5785258147133236
- Mean Citation Score: 295.419714
- Max Citation Score: 435.72885
- Similarity Product: 418.6190317632883

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

Dataset: test