Network Voice Quality Enhancement Database Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing communication networks face high processing loads and inefficiencies in applying Voice Quality Enhancement (VQE) functions, particularly during peak periods, due to the need for per-call analysis and database maintenance challenges, which can lead to reduced call quality and increased costs.
Innovation Solution
A method and apparatus that analyze call data during off-peak periods to determine VQE requirements and store them in a database, allowing for selective application of VQE functions during peak periods, reducing computational load and improving call quality by applying functions only where necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network based VQE functions are applied on a per-call basis during peak periods, then call quality is improved, but processing capacity drops by 30 to 40%
Solution Approach 1:
The patent applies preliminary action by analyzing call data and determining VQE function requirements during off-peak periods before the actual peak periods occur. The system pre-processes call data, identifies which calls will benefit from VQE functions, and stores these determinations in a database. During peak periods, the system simply retrieves pre-determined VQE requirements from the database rather than performing complex analysis in real-time, thus maintaining call quality while preserving processing capacity.
2Reliability
If network based VQE functions are applied to all calls, then call quality is improved, but processing load increases significantly
Solution Approach 1:
The patent applies local quality by selectively applying VQE functions only to specific calls that benefit from them, rather than applying them universally to all calls. The system analyzes call data to identify particular calls with quality issues and applies VQE functions locally to those specific calls based on stored determinations, avoiding the unnecessary processing load that would result from applying VQE functions to all calls regardless of need.
3Reliability
If VQE functions are implemented based on terminal types, then quality uniformity is improved, but database maintenance becomes problematic
Solution Approach 1:
The patent applies self-service by enabling terminals to autonomously signal their type and VQE requirements to the network, eliminating the need for the network to maintain a comprehensive external database of terminal types. The terminal itself provides the necessary information about its capabilities and requirements, simplifying network-side database maintenance while still achieving quality uniformity across different terminal types.
Data Source
AI summary
A method of selectively improving the quality of calls carried by a communications network. The method comprises defining off-peak and peak call periods, and during off-peak periods, for each call carried by the network, analysing call data to determine whether or not a network based Voice Quality Enhancement function should be applied to the call and, if yes, applying the function to the call. A database is maintained containing subscriber and/or terminal identities together with respective Voice Quality Enhancement function requirements, said requirements being updated based upon determinations made during said off-peak periods. During peak periods, said network based Voice Quality Enhancement function is invoked on a per call basis in dependence upon the requirements contained in said database for the user(s) and/or terminal(s) participating in the calls.


