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 9):
A system, comprising:\n one or more processors; memory coupled to the one or more processors, the memory including one or more modules that are executable by the one or more processors to: monitor a performance state of one or more femtocell devices that service a predetermined geographic area of a telecommunications network; retrieve femtocell service data associated with the one or more femtocell devices; generate a femtocell analysis model that correlates femtocell service data of the one or more femtocell devices with historical instances of femtocell service data associated with the telecommunications network; analyze the femtocell service data of the one or more femtocell devices by using one or more trained machine learning algorithms to identify data patterns between the femtocell service data and data-points within the femtocell analysis model; detect a service issue that impacts the performance state of an impacted femtocell device of the one or more femtocell devices, based at least in part on analysis of the femtocell service data; generate a service resolution data packet associated with the service issue, the service resolution data packet including computer-executable instructions that automatically execute a service resolution on the impacted femtocell device; and deploy the service resolution data packet to 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): 0.5129703604547581
- 35 USC 102 Novelty (BERT): 0.4762171029254992
- Combined Prediction Score: 0.5092950347018322
- Mean Citation Score: 144.269844
- Max Citation Score: 151.00444
- Similarity Product: 102.47113795572756

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