PATENT CLAIM ANALYSIS

Application Number: 16188911
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["375", "262000"]

Abstract:
A channel information sending method, a data sending method, and a device are provided, to improve feedback precision of a precoding matrix. A first device includes: a receiving module, configured to receive a reference signal; a processing module, configured to measure the reference signal to obtain first channel information and second channel information; and a sending module, configured to send the first channel information and the second channel information. When generating the precoding matrix, the second device may perform weighted combination on M first vectors based on the weighted combination factor indicated by the received second channel information, instead of selecting only one eigenvector from a plurality of eigenvectors, so that the generated precoding matrix is more precise.

Claim (Index 8):
The device according to  claim 7 , wherein the M first vectors are some first vectors in of universal set of first vectors, the universal set of first vectors is divided into K vector groups, different vector groups in the K vector groups comprises a same first vector, the M first vectors belong to X vector groups, the X vector groups are some or all of the K vector groups, the first channel information comprises a group number, in K vector groups, of each of X vector groups, K is a positive integer, and X is a positive integer not greater than K.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 98.0
- Lexical Diversity: 2.07812
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16148296', '16107653', '15463966', '15819179', '15439686']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5052375812490391
- 35 USC 102 Novelty (BERT): 0.5035366323738331
- Combined Prediction Score: 0.5050674863615184
- Mean Citation Score: 220.66783000000004
- Max Citation Score: 232.11134
- Similarity Product: 156.2839197348523

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