PATENT CLAIM ANALYSIS

Application Number: 15767356
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["375", "296000"]

Abstract:
A method for improving signal to noise ratio in an uplink transmission. The method includes determining a plurality of combinations of “N” possible users to be selected among “X” users that are transmitting signals to a base station comprising “n” number of antennas, where n>=N, wherein selected “N” users transmit on a same sub-carrier; computing signal to noise ratio (SNR) of the signals received from each of the users among the determined combination of “N” possible users; and selecting at least one combination among the plurality of combinations of “N” possible users, such that, a combined signal to noise ratio of the selected combination is maximum among all combinations.

Claim (Index 19):
The method of  claim 14 , further comprising:\n calculating signal to noise ratio for at least a predetermined number of users in one or more of the combination of \u201cN\u201d possible users, wherein the signal to noise ratio is also calculated for at least a subset of the predetermined users; recording previously calculated signal to noise ratio and their associated calculations; and reusing the associated calculations, in subsequent combinations of \u201cN\u201d possible users.

Metadata:
- Claim Count in Document: 39.0
- Percentile: 91.0
- Lexical Diversity: 1.92754
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12477255', '14978623', '12554069', '12002874', '13311336']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4664451486399902
- 35 USC 102 Novelty (BERT): 0.495988039994755
- Combined Prediction Score: 0.4693994377754668
- Mean Citation Score: 215.961516
- Max Citation Score: 221.91165
- Similarity Product: 149.37326727888288

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