PATENT CLAIM ANALYSIS

Application Number: 15980320
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-10
Patent Classification: ["370", "329000"]

Abstract:
A centrally controlled dynamic frequency selection (DFS) mechanism is defined that uses a historical analytical database to define DFS hop patterns, which allows for a better probability of picking a non-interfering channel but also meets the performance requirements of the mesh and satisfying the timing constraints of DFS. A method for performing dynamic frequency selection (DFS) is disclosed, comprising: receiving, at a gateway, measurement reports from a radio access node regarding observed utilization of a 5 GHz radio frequency band shared with a plurality of radio access nodes; determining, based on the received measurement reports, a frequency hop pattern at the gateway; and sending the frequency hop pattern from the gateway to each of the plurality of radio access nodes, thereby enabling compliance with DFS regulations using a centralized gateway.

Claim (Index 20):
A system for performing dynamic frequency selection (DFS), comprising:\n a gateway configured to perform steps comprising:\n receiving, at a gateway, measurement reports from a radio access node regarding observed utilization of a 5 GHz radio frequency band shared with a plurality of radio access nodes; \n selecting, based on the received measurement reports, a frequency hop pattern at the gateway; \n retrieving the frequency hop pattern from a database at the gateway; and \n sending the frequency hop pattern from the gateway to each of the plurality of radio access nodes, \n thereby enabling compliance with DFS regulations using a centralized gateway.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 1.78049
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15219267', '12412734', '15085573', '15225966', '15950689']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5506309502791635
- 35 USC 102 Novelty (BERT): 0.5402496304923337
- Combined Prediction Score: 0.5495928183004806
- Mean Citation Score: 239.96648
- Max Citation Score: 387.04315
- Similarity Product: 378.11541117224704

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

Dataset: test