Voice Call Degradation Detection With Predictive Network Remediation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Communication service degradation in networks due to factors like network congestion, signal interference, and hardware failures leads to reduced call quality, making it difficult for network operators to perform accurate analytics and impacting user experience and revenue generation.
Innovation Solution
A system and method for detecting packet loss and delay in voice communications, identifying the root cause, and implementing remedial actions such as adjusting network configurations or reallocating resources to maintain call quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If encryption is implemented to protect customer data, then security is improved, but visibility into communications is worsened
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between encrypted communications and network operators. This intermediary captures metadata and statistical information from encrypted traffic without decrypting the actual content, enabling operators to gain visibility into communication patterns, quality degradation, and network status while maintaining data security and encryption integrity.
2Difficulty of detecting and measuring
If network monitoring is increased to detect degradation, then detection capability is improved, but system complexity is worsened
Solution Approach 1:
The patent extracts and isolates specific monitoring functions from the complex network infrastructure. By using dedicated monitoring nodes and simplified measurement protocols, the system extracts only the necessary information (packet loss, delay, jitter metrics) without requiring complex analysis of entire communication streams, thereby reducing overall system complexity while maintaining detection capability.
Solution Approach 2:
The patent implements feedback mechanisms where network monitoring data is continuously fed back to operators and users. This enables automatic detection and notification of degradation conditions without requiring complex real-time analysis systems, as the feedback loop provides simplified, actionable information about network status and quality metrics.
3Reliability
If analytics are performed on encrypted data, then fraud identification is improved, but data processing capability is worsened
Solution Approach 1:
The patent segments the data processing task by separating encrypted content from analysis requirements. Instead of attempting to process encrypted data directly, the system segments communications into metadata, statistical patterns, and quality metrics that can be analyzed without decryption. This enables fraud detection and network analysis while maintaining encryption integrity and avoiding the computational burden of decrypting and re-encrypting data streams.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, analyzing, by a processing system including a processor, at least first data from a voice communication session, generating, by the processing system and based on the analyzing, a prediction that second data associated with the voice communication session is likely to experience degradation in an amount greater than a threshold, identifying, by the processing system and based on the generating, a source of the degradation, and implementing, by the processing system and based on the identifying, a modification to at least one of a user equipment or a network resource. Other embodiments are disclosed.