PATENT CLAIM ANALYSIS

Application Number: 15976689
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["370", "252000"]

Abstract:
This disclosure describes techniques for optimizing operational performance of femtocell devices deployed within a telecommunications network. More particularly, a femtocell Optimization (FCO) system is described that detects service issues that affect femtocell device(s). In some instances, the FCO system may automatically deploy a service resolution for known service issues or alerts network representatives for unresolved service issues. Moreover, the FCO system may be further configured to optimize resource utilization of a femtocell device network by preemptively correcting femtocell provisioning issues, based on patterns of historic service issues. The FCO system may further optimize resource usage of femtocell devices by selectively intercepting and terminating connectivity requests (i.e. rejecting issuance of Internet Protocol (IP) addresses) from client devices, or client device types, that have not historically overwhelmed femtocell network resources. The FCO system may further generate a femtocell analysis model to preemptively deploy service resolutions that protect against probable degradations in performance.

Claim (Index 16):
One or more non-transitory computer-readable media storing computer-executable instructions, that when executed on one or more processors, cause the one or more processors to perform acts comprising:\n receiving, from a client device, a service message indicating that a service issue is impacting a performance state of a telecommunications network; retrieving femtocell service data associated with one or more femtocell devices within a predetermined geographic area of the telecommunications network, based at least in part on the service message, the femtocell service data including provisioning data and tunnel data that is associated with the one or more femtocell devices; analyzing the femtocell service data using one or more trained machine learning algorithms to determine that a performance state of an impacted femtocell device of the one or more femtocell devices is less than a predetermined Quality of Service (QoS) threshold; determining, via the one or more trained machine learning algorithms, a service resolution to resolve the service issue, based at least in part on analysis of the femtocell service data; and generating a service resolution data packet for deployment to the impacted femtocell device, the service resolution data packet including computer-executable instructions that automatically execute the service resolution on the impacted femtocell device.

Metadata:
- Claim Count in Document: 37.0
- Percentile: 93.0
- Lexical Diversity: 1.81053
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12845131', '15076229', '15212110', '12252202', '13969889']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5178091571250703
- 35 USC 102 Novelty (BERT): 0.4581772230172473
- Combined Prediction Score: 0.5118459637142879
- Mean Citation Score: 144.269844
- Max Citation Score: 151.00444
- Similarity Product: 118.4141375403142

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