PATENT CLAIM ANALYSIS

Application Number: 15749408
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["370", "252000"]

Abstract:
The present disclosure relates to a method and a network node for calculating transmitter precoding weights and receiver combining weights for a multiple input multiple output (MIMO) antenna system. Channel responses are estimated at the network node for user terminals accessing the network node on a carrier. Zero forcing beamforming weights are determined for the carrier by adding one of the user terminals at a time in a calculation of an inverse of a Gram matrix containing parameters of the channel responses.

Claim (Index 19):
A network node for calculating transmitter precoding weights and receiver combining weights for a multiple input multiple output (MIMO) antenna system, comprising:\n an array of M antennas adapted to transmit signals toward user terminals accessing the network node on a carrier and to receive signals from the user terminals; an estimator of channel responses received on the array of M antennas from the user terminals; and a weight calculator of zero forcing beamforming weights for the carrier by adding one of the user terminals at a time in a calculation of an inverse of a Gram matrix containing parameters of the channel responses.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 1.58182
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12554082', '13447415', '12554069', '14037743', '13377866']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4854030232635435
- 35 USC 102 Novelty (BERT): 0.4753178158697463
- Combined Prediction Score: 0.4843945025241638
- Mean Citation Score: 180.05807199999995
- Max Citation Score: 182.95453
- Similarity Product: 143.6016775605643

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

Dataset: test