PATENT CLAIM ANALYSIS

Application Number: 15960297
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["370", "329000"]

Abstract:
This disclosure provides systems, methods, and apparatus, including computer programs encoded on computer-readable media, for communicating channel selection constraints in a network having multiple access points (APs). In one aspect, a root AP may assist with channel selection (assignment) for the multiple APs. A first AP can provide channel operating constraints to the root AP to indicate one or more operating constraints for a particular channel that may be used by the first AP. The operating constraints may be based, at least in part, on a hardware characteristic of the first AP. For example, an operating constraint may indicate a minimum channel separation or a maximum transmit power to consider when the particular channel is used concurrently with another channel. In another aspect, the first AP can communicate a channel selection error and error code when a particular channel cannot be used due to an operating constraint.

Claim (Index 25):
A method performed by a first access point (AP) of a network, the method comprising:\n generating, at the first AP, a first list of channels that are available for use by the first AP; determining one or more operating constraints for at least a first channel in the first list of channels; and transmitting a channel preference report message to a Multi-AP Controller of the network, the channel preference report message including the first list of channels and the one or more operating constraints for at least the first channel.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 91.0
- Lexical Diversity: 2.03659
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15154041', '14160548', '12302090', '11908511', '14156262']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5162677704818412
- 35 USC 102 Novelty (BERT): 0.470478136467067
- Combined Prediction Score: 0.5116888070803638
- Mean Citation Score: 165.11625399999997
- Max Citation Score: 173.39452
- Similarity Product: 130.43202037238837

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

Dataset: test