PATENT CLAIM ANALYSIS

Application Number: 15883526
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["375", "267000"]

Abstract:
Embodiments disclose a method for beam training in a multiuser scenario and an apparatus. The method is applied to beam training performed on multiple responders by an initiator and includes: sending, by the initiator, status information of transmit antennas of the initiator to a first responder of the multiple responders, so that the first responder selects a to-be-used transmit antenna from the transmit antennas according to the status information, where the status information is used to indicate whether the transmit antennas of the initiator are selected; and receiving, by the initiator, feedback information sent by the first responder, and determining, according to the feedback information, the to-be-used transmit antenna selected by the first responder.

Claim (Index 1):
A method, comprising:\n sending, by an initiator, status information of a plurality of transmit antennas of the initiator to a first responder of a plurality of responders, wherein the first responder selects a to-be-used transmit antenna from the plurality of transmit antennas according to the status information, and wherein the status information indicates whether the plurality of transmit antennas of the initiator are currently selected by the plurality of responders; and receiving, by the initiator, feedback information sent by the first responder, and determining, according to the feedback information, the to-be-used transmit antenna selected by the first responder.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 86.0
- Lexical Diversity: 2.35185
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15345398', '15258741', '15499730', '15175615', '15148977']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5317163950356714
- 35 USC 102 Novelty (BERT): 0.5144673726893008
- Combined Prediction Score: 0.5299914928010343
- Mean Citation Score: 308.1348680000001
- Max Citation Score: 321.53464
- Similarity Product: 256.2311380169821

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