PATENT CLAIM ANALYSIS

Application Number: 16012691
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["375", "267000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learned communication over multi-input-multi-output (MIMO) channels. One of the methods includes: determining a transmitter and a receiver, at least one of which implements a machine-learning network; determining a MIMO channel model; determining first information; using the transmitter to process the first information and generate first RF signals representing inputs to the MIMO channel model; determining second RF signals representing outputs of the MIMO channel model, each second RF signal representing aggregated reception of the first RF signals altered by transmission through the MIMO channel model; using the receiver to process the second RF signals and generate second information as a reconstruction of the first information; calculating a measure of distance between the second and first information; and updating the machine-learning network based on the measure of distance between the second and first information.

Claim (Index 15):
The method of  claim 11 , further configured to transmit and receive information over a multi-user MIMO communication channel utilized by multiple users,\n wherein the transmitter comprises one or more encoders, wherein the receiver comprises one or more decoders, wherein using the transmitter to process the first information and generate the plurality of first RF signals comprises: using the one or more encoders to (i) process at least a first portion of the first information and generate a first subset of the plurality of first RF signals; and (ii) process at least a second portion of the first information and generate a second subset of the plurality of first RF signals, and wherein using the receiver to process the plurality of second RF signals and generate second information as a reconstruction of the first information comprises: using the one or more decoders to (i) process a first subset of the plurality of second RF signals and generate a first portion of the second information as a reconstruction of the first portion of the first information; and (ii) to process a second subset of the plurality of second RF signals and generate a second portion of the second information as a reconstruction of the second portion of the first information.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.31944
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15970324', '15961454', '15961465', '13953355', '15978920']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5327048592943039
- 35 USC 102 Novelty (BERT): 0.524683974093711
- Combined Prediction Score: 0.5319027707742446
- Mean Citation Score: 281.051018
- Max Citation Score: 343.46152
- Similarity Product: 279.5521319494915

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

Dataset: test