PATENT CLAIM ANALYSIS

Application Number: 16441518
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-12
Patent Classification: ["455", "456100"]

Abstract:
Systems and methods for providing information describing mobile network interference experienced by a mobile network.

Claim (Index 1):
A method comprising: with an interference analysis system:\n accessing mobile network telemetry data generated by at least one infrastructure element of a mobile network, the telemetry data including at least time-frequency characteristic data for each of a plurality of base station receive antennas of the mobile network; with a trained interference detection model trained to detect interference from a set of time-frequency characteristic data, detecting interference at at least one base station receive antenna by using at least the accessed time-frequency characteristic data; with a trained classification engine, for each of a plurality of sets of time-frequency characteristic data corresponding to interference detected by the interference detection model,\n extracting an interference signature from the associated time-frequency characteristic data, and \n generating classification information for the extracted interference signature based on interference signatures extracted from time-frequency characteristic data of related base stations; \n generating interference information based on at least classification information generated for at least one interference signature; and providing the generated interference information to at least one of an operator device and an infrastructure element of the mobile network.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 100.0
- Lexical Diversity: 1.14286
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12462634', '14800621', '15690135', '15292837', '15626412']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6525915797780616
- 35 USC 102 Novelty (BERT): 0.4682605479784245
- Combined Prediction Score: 0.6341584765980979
- Mean Citation Score: 122.04788600000002
- Max Citation Score: 125.9244
- Similarity Product: 88.85295009269714

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