PATENT CLAIM ANALYSIS

Application Number: 15927901
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["370", "329000"]

Abstract:
This disclosure provides systems, methods, and apparatus, including computer programs encoded on computer-readable media, for enhanced channel selection in a network having multiple access points (APs). The enhanced channel selection may optimize the overall performance of the network by incorporating considerations about the impact on other APs in a big-picture view of the network. In one aspect, enhanced channel selection may combine a first channel selection process at a first AP (based on first channel selection by the first AP) with a second channel selection at a Multi-AP Controller. Coordination between the first AP and the Multi-AP Controller may improve a channel selection technique to optimize channel selection based on considerations of the overall network.

Claim (Index 9):
The first AP of  claim 7 , wherein the instructions to detect the local channel switch trigger condition include instructions which, when executed by the processor, cause the first AP to perform at least one operation selected from a group consisting of:\n determining that the first AP has a load higher than a trigger threshold; determining a co-channel interference on a current channel being used by the first AP, wherein the co-channel interference is impacting channel availability for one or more stations associated with the current channel; comparing an interference power level with a threshold level; and comparing a current time with a trigger time configured at the first AP.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 90.0
- Lexical Diversity: 2.03175
- Patent Class: 370.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14035543', '13964398', '12356882', '10983207', '11489043']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5999417748662877
- 35 USC 102 Novelty (BERT): 0.4771951089552985
- Combined Prediction Score: 0.5876671082751889
- Mean Citation Score: 183.403916
- Max Citation Score: 189.32487
- Similarity Product: 138.5334202697039

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