Radio Channel Data Processing Using Source Distribution Quantization
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Solution Overview
Problem
Current multimedia communication technologies face challenges in efficiently compressing and transmitting multimedia data over limited radio channels due to sensitivity to bit error rates, leading to unreliable data transmission in wireless networks.
Innovation Solution
A radio channel data processing method that determines modulation and coding schemes based on source distribution information and channel state, using source distribution quantization intervals and channel state quantization intervals to optimize coding and decoding performance, and employs feedback mechanisms to adjust schemes dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If predictive coding and variable-length coding are used to efficiently compress video service data, then compression efficiency is improved, but the bit stream becomes very sensitive to bit error rate of the channel
Solution Approach 1:
The patent combines predictive coding (source coding) with channel coding into a unified joint source-channel coding framework. The encoder integrates motion estimation, DCT transformation, quantization, and channel coding together, allowing the system to optimize compression while simultaneously protecting against bit errors through embedded error correction codes and adaptive modulation schemes.
Solution Approach 2:
The system dynamically adjusts coding parameters based on channel conditions. When channel quality degrades, the encoder modifies quantization parameters, code rates, and modulation schemes to maintain reliability. The receiver adapts its decoding parameters based on detected error rates, changing between different reconstruction modes to compensate for errors without requiring retransmission.
2Productivity
If efficient compression is applied to multimedia service data over limited bandwidth radio channels, then data transmission efficiency is improved, but coding and decoding performance in wireless networks deteriorates due to channel errors
Solution Approach 1:
The patent implements feedback mechanisms where the receiver monitors channel error rates and sends information back to the transmitter. Based on this feedback, the transmitter adjusts its coding parameters, modulation scheme, and error protection level. The receiver also uses feedback about decoding success/failure to adapt its reconstruction algorithms, creating a closed-loop system that maintains performance despite varying channel conditions.
Solution Approach 2:
The system transitions from static coding schemes to dynamic adaptive coding. The encoder continuously adjusts quantization parameters, block sizes, and error protection levels based on real-time channel quality measurements. The decoder dynamically switches between different reconstruction modes (e.g., using motion compensation vs. simple interpolation) based on detected error patterns, allowing the system to optimize performance for current channel conditions.
Data Source
AI summary
Embodiments of this application provide a radio channel data processing method, a communication apparatus, and a related device. In the method, a first communication device may send an uplink resource request message to a second communication device. The uplink resource request message includes source distribution information and a first modulation and coding scheme determined based on the source distribution information. The first communication device receives an uplink resource allocation message from the second communication device. The uplink resource allocation message includes a modulation and coding scheme allocated by the second communication device to the first communication device. The first communication device performs modulation and coding on an information bit based on the second modulation and coding scheme. This helps improve coding performance of the first communication device.