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 17):
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 that there is at least one pair of Gray code complementary sequences in each codeword of an orthogonal mask of the eBRP-CE sub-field and the eBRP-TRN sub-field when an antenna quantity of the communications device exceeds one.

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): 0.5338927740136874
- 35 USC 102 Novelty (BERT): 0.488158134722207
- Combined Prediction Score: 0.5293193100845394
- Mean Citation Score: 214.36517
- Max Citation Score: 229.30237
- Similarity Product: 181.80241541318057

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