PATENT CLAIM ANALYSIS

Application Number: 15744117
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["375", "267000"]

Abstract:
Disclosed are a downlink precoding method and a base station. The method includes: configuring a first precoding mode for a first cell, wherein the first precoding mode includes information of a precoding matrix configured for each candidate user of the first cell on each resource; selecting a scheduling user on each resource from candidate users according to the first precoding mode; and performing precoding to a channel estimation signal and downlink data of the scheduling user according to a precoding matrix of the scheduling user, and transmitting precoded channel estimation signal and precoded downlink data to the scheduling user. Such method and base station of the present disclosure can reduce the feedback overhead of the user, effectively improve the accuracy of channel quality indicator (CQI) estimation, and improve the system throughput and user throughput.

Claim (Index 15):
A non-transitory machine-readable storage medium, comprising: machine-readable instructions executable by a processor that, when executed by the processor, cause the processor to:\n configure a first precoding mode for a first cell, wherein the first precoding mode records information of a precoding matrix of each candidate user on each resource; select a scheduling user from candidate users for each resource according to the first precoding mode; perform precoding to a channel estimation signal and downlink data of the scheduling user according to a precoding matrix of the scheduling user; and transmit precoded channel estimation signal and precoded downlink data to the scheduling user.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 86.0
- Lexical Diversity: 2.39344
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15545127', '14131890', '13824216', '15557948', '14800333']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5151934100151969
- 35 USC 102 Novelty (BERT): 0.514359015246638
- Combined Prediction Score: 0.5151099705383411
- Mean Citation Score: 282.536626
- Max Citation Score: 289.74887
- Similarity Product: 183.14714802451493

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

Dataset: test