Source Code Adaptation for Communication Link Quality
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Solution Overview
Problem
In conversational services, the limited end-to-end delay budget restricts transmission capacity, as source coding delays consume a significant portion of the available time, limiting the ability to enhance transmission efficiency and reliability.
Innovation Solution
Adapting source coding modes based on the quality of the communication link to optimize the tradeoff between source coding efficiency and transmission efficiency, by selecting modes with reduced coding delays to allocate additional time for transmission, thereby extending the transmission delay budget.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If source coding delay is increased to improve source coding efficiency, then source coding quality is improved, but transmission capacity is reduced
Solution Approach 1:
The source coding delay is made dynamic rather than fixed. The system adapts the source coding delay based on channel conditions, allowing it to vary between a first value (when channel conditions are good) and a second value (when channel conditions are poor). This dynamic adjustment resolves the contradiction by optimizing the trade-off between source coding quality and transmission capacity according to real-time network conditions.
Solution Approach 2:
The invention changes the parameter of source coding delay based on channel quality indicators. When channel conditions deteriorate, the source coding delay is reduced to allow more time for retransmissions and to meet end-to-end delay requirements. This parameter change enables the system to maintain transmission capacity while still achieving acceptable source coding quality.
2Productivity
If source coding delay is reduced to increase transmission capacity, then transmission efficiency is improved, but source coding quality deteriorates
Solution Approach 1:
The system dynamically adjusts source coding delay based on channel conditions. When channel conditions are poor, the source coding delay is reduced to prioritize transmission capacity and meet delay requirements. When channel conditions are good, the source coding delay can be increased to improve source coding quality. This dynamic behavior resolves the contradiction by adapting to real-time conditions.
Solution Approach 2:
The invention changes the source coding delay parameter in response to channel quality variations. By reducing the source coding delay when channel conditions are poor, the system maintains transmission capacity while accepting a trade-off in source coding quality. This parameter adaptation resolves the contradiction between transmission efficiency and source coding quality.
3Device complexity
If fixed source coding delay is used to simplify system design, then device complexity is reduced, but adaptability to channel conditions is lost
Solution Approach 1:
The invention introduces dynamic adaptation of source coding delay based on channel conditions. The system monitors channel quality indicators and adjusts the source coding delay accordingly, enabling adaptability to varying channel conditions while maintaining a relatively simple overall system architecture. This dynamic approach resolves the contradiction between simplicity and adaptability.
Solution Approach 2:
The system changes the source coding delay parameter based on channel quality feedback. By implementing a mechanism that adjusts this parameter in response to channel conditions, the system achieves adaptability without requiring complete redesign of the source coding architecture. This parameter-based adaptation resolves the contradiction between device complexity and adaptability.
4Reliability
If source coding delay is reduced to meet end-to-end delay requirements, then transmission reliability is improved, but source coding efficiency is reduced
Solution Approach 1:
The system dynamically adjusts source coding delay to meet end-to-end delay requirements while maintaining source coding efficiency when possible. When channel conditions are poor and retransmissions are needed, the source coding delay is reduced to ensure timely delivery. When conditions are good, the delay can be increased to improve efficiency. This dynamic adjustment resolves the contradiction between transmission reliability and source coding efficiency.
Solution Approach 2:
The invention changes the source coding delay parameter based on channel conditions and delay requirements. By reducing the source coding delay when necessary to meet end-to-end delay constraints, the system ensures transmission reliability. This parameter change resolves the contradiction between reliability and efficiency by adapting to real-time conditions.
Data Source
AI summary
Method and arrangement in a network node for adapting a property of source coding to the quality of a communication link in packet switched conversational services in a communication system. The method comprises obtaining (404) information related to the quality of a communication link. The method further comprises selecting (406) a source coding mode with an associated source coding delay, based on the obtained information and the associated source coding delay. The selected source coding mode is selected from a set of at least two source coding modes associated with different source coding delays, and is to be used when source coding voice data to be transmitted over the communication link.