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 8):
The computer-implemented method of  claim 1 , further comprising:\n analyzing the femtocell service data of the impacted femtocell device using one or more trained machine learning algorithms to identify data patterns between the femtocell service data and historical instances of femtocell service data associated the telecommunications network; and determining that a service resolution is not available for the service issue, and wherein, generating the service resolution data packet includes transmitting a message to an administrator of the impacted femtocell device or an administrator of the telecommunications network that identifies the service issue and indicates that further analysis is required to resolve the service issue.

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): 0.5153487540909532
- 35 USC 102 Novelty (BERT): 0.4673406851497041
- Combined Prediction Score: 0.5105479471968283
- Mean Citation Score: 144.269844
- Max Citation Score: 151.00444
- Similarity Product: 110.30634667727944

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