PATENT CLAIM ANALYSIS

Application Number: 15901267
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["370", "252000"]

Abstract:
Measuring a Channel State Information-Reference Signal (CSI-RS) according to configuration information of the CSI-RS, to acquire a downlink channel transport matrix. Determining a Channel Quality Indicator (CQI) of a frequency domain reporting unit, according to a number of CSI-RS ports and the corresponding transmission scheme of a Physical Downlink Shared Channel (PDSCH) used when determining the CQI, and the downlink channel transport matrix being acquired by a measurement, Reporting the determined CQI to a network side.

Claim (Index 1):
A method for reporting channel quality information, the method using non-Precoding Matrix Indicator (non-PMI) feedback for a transmission mode, the method comprising:\n measuring, by a User Equipment (UE), a Channel State Information-Reference Signal (CSI-RS) according to configuration information of the CSI-RS, to acquire a downlink channel transport matrix; determining, by the UE, a Channel Quality Indicator (CQI) of a frequency domain reporting unit, according to a number of CSI-RS ports and the corresponding transmission scheme of a Physical Downlink Shared. Channel (PDSCH) used when determining the CQI, and the downlink channel transport matrix being acquired by a measurement; and reporting, by the UE, the determined CQI to a network side, wherein\n the transmission scheme of the PDSCH comprises:\n the PDSCH is assumed to be transmitted through single-port when the number of CSI-RS ports is 1, and \n the PDSCH is assumed to be transmitted through Cell-specific Reference Signal CRS port  by,  a transmit diversity scheme when the number of CSI-RS ports is larger than 1.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 88.0
- Lexical Diversity: 1.72549
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14002106', '14002113', '13979381', '14400603', '14300099']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6215912790552639
- 35 USC 102 Novelty (BERT): 0.6174149736872365
- Combined Prediction Score: 0.6211736485184612
- Mean Citation Score: 444.971742
- Max Citation Score: 556.10205
- Similarity Product: 549.4355405681491

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

Dataset: test