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 8):
The method of  claim 7 , wherein determining the format of the eBRP packet comprises determining, by the first device based on the antenna quantity of the first device and an antenna polarization direction of the first device, the quantity of Gray codes composing each eBRP-CE sub-field in the training field and the quantity of Gray codes composing each 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): 0.5303492815834627
- 35 USC 102 Novelty (BERT): 0.5032414798286787
- Combined Prediction Score: 0.5276385014079843
- Mean Citation Score: 214.36517
- Max Citation Score: 229.30237
- Similarity Product: 150.58064203387198

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