PATENT CLAIM ANALYSIS

Application Number: 15906071
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["375", "267000"]

Abstract:
Certain aspects of the present disclosure provide methods and apparatus for enhancing a beamforming training procedure. For example, an apparatus can include a processing system that generates a plurality of transmit beamforming refinement frames for a transmit sector sweep that each include a preamble, a data field, at least one beamforming training field, identification of a transmit antenna array to be used for transmitting the at least one beamforming training field, and a status indication of whether the transmit beamforming refinement frame is a last transmit beamforming refinement frame in the transmit sector sweep for one or more receive antenna arrays of a wireless node. The apparatus also includes a first interface that outputs the transmit beamforming refinement frames using a first transmit beamforming sector for the preambles and data fields, and one or more second transmit beamforming sectors for subfields of the beamforming training fields.

Claim (Index 3):
The apparatus of  claim 2 , wherein:\n the at least one feedback frame also has an indication of a receive signal quality associated with each of the transmit beamforming sectors; and the selection is based on at least one of the receive signal qualities.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 88.0
- Lexical Diversity: 2.15278
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15867217', '15906362', '15379184', '15864585', '15148902']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5971371679570109
- 35 USC 102 Novelty (BERT): 0.5354023354237555
- Combined Prediction Score: 0.5909636847036854
- Mean Citation Score: 363.981496
- Max Citation Score: 379.694
- Similarity Product: 275.08551950335504

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test