Joint Source-Channel Encoding with Channel Feedback for Wireless Quality
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Solution Overview
Problem
Conventional data transmission methods fail to adjust source encoding parameters in real time based on channel quality, leading to deteriorated data reception quality and frame freezing or mosaic phenomena, especially in wireless environments.
Innovation Solution
Implement a joint source-channel encoding scheme that integrates entropy encoding and channel encoding, allowing for real-time adaptation to channel conditions by using parameters such as source encoder types, rate-distortion mapping models, and channel quality information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate source encoding and channel encoding are used, then the system structure is simple and independent modules are maintained, but data reception quality deteriorates rapidly under poor channel conditions
Solution Approach 1:
The patent merges source encoding and channel encoding into a unified joint source-channel encoding module. The encoder simultaneously performs both source compression and channel coding functions, allowing the system to adapt encoding parameters based on channel conditions while maintaining a unified structural framework rather than separate independent modules.
Solution Approach 2:
The patent implements dynamic adaptation of encoding parameters based on real-time channel quality feedback. The encoder adjusts source encoding parameters (such as quantization parameters, coding rates) according to channel conditions, transitioning from static separate encoding to dynamic joint encoding that responds to varying transmission environments.
2Adaptability or versatility
If channel encoding rate is adjusted based on channel condition, then channel adaptation is improved, but source encoding parameter adjustment in real time is not achieved
Solution Approach 1:
The patent implements a feedback mechanism where channel quality information is continuously monitored and fed back to the joint encoder. Based on this feedback, the encoder dynamically adjusts both source encoding parameters and channel coding parameters in real time, creating a closed-loop adaptive system that responds to changing channel conditions.
Solution Approach 2:
The patent changes multiple encoding parameters simultaneously based on channel conditions, including source encoding parameters (quantization parameters, prediction modes) and channel coding parameters (coding rates, block sizes). This multi-parameter adaptation enables comprehensive optimization of both compression efficiency and transmission reliability under varying channel conditions.
3Adaptability or versatility
If joint source-channel encoding is implemented, then adaptability to channel conditions improves and encoding gain increases, but existing protocol stack cannot provide support
Solution Approach 1:
The patent segments the joint encoding functionality into distinct modular components: source encoding module, channel encoding module, and parameter adjustment module. This segmentation allows the complex joint encoding process to be implemented as coordinated independent functions within the protocol stack, making it manageable and integrable into existing communication architectures.
Solution Approach 2:
The patent introduces an intermediary control module that coordinates between source encoding and channel encoding functions. This intermediary manages parameter exchange and synchronization between encoding stages, facilitating the integration of joint encoding into existing protocol stacks without requiring complete protocol redesign.
Data Source
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AI summary
This application discloses a joint source-channel encoding method and an information exchange method that are used during wireless data transmission. In the method, through information exchange between an access network, a core network, and a server, the access network can perform joint source-channel encoding on service data, and the access network can further jointly optimize a source-channel encoding parameter with reference to a channel condition, to adapt to different channel conditions of a terminal in real time, so that transmission efficiency of data during wireless transmission is high.