PATENT CLAIM ANALYSIS

Application Number: 15922191
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["370", "338000"]

Abstract:
Previously available network monitoring and management systems fail to provide adequate transmit power control in WiFi networks having multiple neighboring wireless access points. By contrast, various implementations disclosed herein include systems, methods and apparatuses that generate an interference map based at least on co-channel interference reported in a number of neighbor lists, wherein each of the neighbor lists is associated with a respective one of a plurality of compliant wireless access points included in one of a local area network (LAN) and a portion of a virtual LAN (VLAN); and determine a respective transmit power adjustment for each of the plurality of compliant wireless access points included in the interference map based on at least one interference criterion characterizing the interference on each of the plurality of compliant wireless access points included in the interference map and respective neighboring wireless access points.

Claim (Index 2):
The method of  claim 1 , wherein the plurality of wireless access points are detected as a function of respective interference weights based on an amount of the co-channel interference impacting the first compliant wireless access point.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 90.0
- Lexical Diversity: 2.02667
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14752805', '13645565', '15028862', '14939641', '14720967']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5559858636393398
- 35 USC 102 Novelty (BERT): 0.5119746917332058
- Combined Prediction Score: 0.5515847464487263
- Mean Citation Score: 200.991606
- Max Citation Score: 310.5422700000001
- Similarity Product: 254.7941810337693

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