PATENT CLAIM ANALYSIS

Application Number: 16044648
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["370", "329000"]

Abstract:
In one embodiment, a network monitoring service trains, using a training dataset from one or more wireless networks, a machine learning model to output an optimized set of media access control (MAC) mode parameters for a wireless access point given an input set of network characteristics. The service receives a plurality of network characteristics associated with a particular wireless access point in a particular wireless network. The service determines, using the received network characteristics as input to the machine learning-based model, a set of MAC mode parameters for the particular wireless access point. The service controls the particular wireless access point to communicate with one or more clients in the particular wireless network based on the determined set of MAC mode parameters.

Claim (Index 7):
The method as in  claim 1 , wherein the network characteristics associated with the particular wireless access point comprise delay, jitter, or packet loss metrics.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 95.0
- Lexical Diversity: 2.2931
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12798069', '12352733', '15481684', '14023204', '15555686']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5084677969562267
- 35 USC 102 Novelty (BERT): 0.4853875447433337
- Combined Prediction Score: 0.5061597717349374
- Mean Citation Score: 176.06107200000002
- Max Citation Score: 180.09163
- Similarity Product: 130.70157011662306

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