PATENT CLAIM ANALYSIS

Application Number: 16182215
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["375", "267000"]

Abstract:
A beam refinement method and a communications device, where the method includes determining, by a first device, a format of an enhanced Beam Refinement Protocol (eBRP) packet, where the eBRP packet includes a training field, the training field includes an eBRP channel estimation (eBRP-CE) sub-field and an eBRP training (eBRP-TRN) sub-field, and a ratio of a quantity of Gray codes composing the eBRP-CE sub-field in the training field to a quantity of Gray codes composing the eBRP-TRN sub-field in the training field is less than 9:20, and sending, by the first device, the eBRP packet to a second device based on the determined format of the eBRP packet. Hence, an effective proportion of the eBRP-TRN sub-field in the training field can be increased such that more Antenna Weight Vector (AWV) configurations can be attempted within a same period of time.

Claim (Index 13):
The communications device of  claim 11 , wherein in a manner of determining the format of the eBRP packet, the instruction further causes the processor to be configured to determine, based on a modulation and coding scheme level of a data field, the ratio of the quantity of Gray codes composing the eBRP-CE sub-field in the training field to the quantity of Gray codes that composing the eBRP-TRN sub-field in the training field.

Metadata:
- Claim Count in Document: 39.0
- Percentile: 98.0
- Lexical Diversity: 2.31884
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15699224', '14866886', '14864949', '15643995', '15948291']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5310346456616065
- 35 USC 102 Novelty (BERT): 0.5003249499084144
- Combined Prediction Score: 0.5279636760862872
- Mean Citation Score: 214.36517
- Max Citation Score: 229.30237
- Similarity Product: 156.6169283651447

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