PATENT CLAIM ANALYSIS

Application Number: 15897082
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["370", "252000"]

Abstract:
Embodiments of the present disclosure provide a channel state information feedback method, which includes: determining, by user equipment, N CSI-RS resources according to a quantity N, configured by a base station, of CSI-RS resources that need to be fed back; performing channel estimation on a port included in the N CSI-RS resources, to obtain channel state information in a horizontal dimension; then selecting M CSI-RS resources from the N CSI-RS resources; and feeding back channel state information of the M CSI-RS resources in the horizontal dimension and indication information of the M CSI-RS resources to the base station, so that the base station determines channel state information in a vertical dimension according to the indication information, so as to finally obtain channel state information in the two dimensions, thereby resolving a problem that channel state information in only a horizontal dimension is fed back during conventional channel estimation.

Claim (Index 6):
The user equipment according to  claim 2 , wherein:\n the feedback mode is a first feedback mode; the feedback type comprises a ninth feedback type and a tenth feedback type; the ninth feedback type corresponds to a ninth feedback period, and the tenth feedback type corresponds to a tenth feedback period; and a feedback parameter of the ninth feedback type comprises the indication information and RIs of the M CSI-RS resources, and a feedback parameter of the tenth feedback type comprises PMIs 1, PMIs 2, and CQIs that are obtained by measurement according to the M CSI-RS resources.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 88.0
- Lexical Diversity: 2.45455
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14349875', '14680549', '15778395', '13650813', '13991152']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6262273608281098
- 35 USC 102 Novelty (BERT): 0.5169784451745536
- Combined Prediction Score: 0.6153024692627542
- Mean Citation Score: 328.02226
- Max Citation Score: 330.72617
- Similarity Product: 271.83180644390944

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