PATENT CLAIM ANALYSIS

Application Number: 16279329
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["375", "267000"]

Abstract:
A channel state information sending method, a channel state information receiving method, and a device are disclosed, to reduce resource overheads required when a terminal device feeds back CSI to a network device in a scenario of a high precision codebook-based precoding matrix. The method includes: determining, by a terminal device, a precoding matrix W; sending, by the terminal device, a signal including CSI to a network device; obtaining, by the network device, an RI and indication information based on the signal including the CSI; obtaining, by the network device, a PMI2 based on the RI and the indication information; and determining, by the network device, the precoding matrix W based on the rank indicator RI and the second precoding matrix indicator PMI2.

Claim (Index 4):
The method according to  claim 1 , wherein the obtaining, by the network device, the RI and the indication information based on the signal comprising the CSI comprises:\n decoding, by the network device, bits that are in the signal comprising the CSI and that are used to carry the RI and the indication information, the decoding obtaining the RI and the indication information; and the obtaining, by the network device, the PMI2 based on the RI and the indication information comprises: decoding, by the network device based on the RI and the indication information, a bit that is in the signal comprising the CSI and that carries the PMI2, the decoding obtaining the PMI2.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 99.0
- Lexical Diversity: 2.69811
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16146599', '15971076', '15371840', '14831698', '15398551']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4466762601726086
- 35 USC 102 Novelty (BERT): 0.5278797593338054
- Combined Prediction Score: 0.4547966100887283
- Mean Citation Score: 255.364284
- Max Citation Score: 332.98795
- Similarity Product: 250.46853686460847

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

Dataset: test