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 12):
The base station of  claim 9 , wherein the instructions that cause the processor to calculate the throughput of each of the candidate users further cause the processor to: calculate a received signal power of each candidate user according to the first precoding matrix, calculate an inter-cell interference power between the first cell and the adjacent cell according to the first precoding matrix and the second precoding matrix, and calculate a signal to interference and noise ratio according to the received signal power and the inter-cell interference power.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 86.0
- Lexical Diversity: 2.39344
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15545127', '14131890', '13824216', '15557948', '14800333']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5449522545025087
- 35 USC 102 Novelty (BERT): 0.5157465414216468
- Combined Prediction Score: 0.5420316831944225
- Mean Citation Score: 282.536626
- Max Citation Score: 289.74887
- Similarity Product: 187.27387041926505

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