PATENT CLAIM ANALYSIS

Application Number: 15989613
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["370", "329000"]

Abstract:
A receiver includes multi-user detection (MUD) functionality and a cognitive engine. The receiver may also be coupled to multiple antennas and have analog beamforming capability. The cognitive engine is operative for selecting a beam or beams associated with the multiple antennas to enable successful demodulation by the MUD. The receiver has application in multiple access channels and in other communication scenarios.

Claim (Index 48):
A communication device for use in a multi-signal wireless environment having a signal of interest and one or more other signals in a common frequency band, the device comprising:\n at least one beamformer configured to form a plurality of receive beams, each receive beam in the plurality of receive beams configured to receive a composite signal having a different combination of the signal of interest and the one or more other signals; a multi-user detector (MUD) configured to demodulate the signal of interest within each composite signal; and a cognitive engine configured to select one or more receive beams in the plurality of receive beams having a dynamic range, between the signal of interest and the one or more other signals that are delivered to the MUD, that is favorable for demodulation of the signal of interest by the MUD.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 93.0
- Lexical Diversity: 1.39583
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14648049', '14437882', '14677580', '13242217', '15329002']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4991487357296555
- 35 USC 102 Novelty (BERT): 0.5201911960428178
- Combined Prediction Score: 0.5012529817609718
- Mean Citation Score: 181.445374
- Max Citation Score: 336.07056
- Similarity Product: 269.64745060063365

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