Adaptive Data Compression for Low Latency Jitter in Wireless Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current data compression techniques in wireless communication networks struggle to adapt to changing signal behavior, resulting in high latency jitter and performance degradation, especially with the increased bandwidth and antenna requirements of next-generation communication standards like 3GPP LTE-A and IEEE 802.16m.
Innovation Solution
A novel compression scheme that uses feedforward estimation and decision-based compression parameters, adjusting parameters in real-time to optimize signal processing through filtering, encoding, and entropy calculation, ensuring low latency and jitter while maintaining performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If predetermined compression parameters are used, then the compression process is simple, but the system cannot adapt to changing signal behavior resulting in high latency jitter and performance degradation
Solution Approach 1:
The patent implements dynamic compression by continuously monitoring signal characteristics (such as signal-to-noise ratio and channel conditions) and adjusting compression parameters in real-time based on current signal behavior, transforming the static compression process into an adaptive dynamic system that responds to changing communication conditions
Solution Approach 2:
The system employs feedback mechanisms where compression performance is continuously evaluated and the results are used to adjust compression parameters for subsequent data packets, creating a closed-loop control system that optimizes compression while maintaining signal quality and minimizing latency jitter
2Productivity
If higher compression ratios are achieved, then data transmission efficiency improves, but signal degradation increases
Solution Approach 1:
The patent changes compression parameters (such as compression ratio, quantization levels, and encoding precision) based on signal conditions to optimize the balance between compression efficiency and signal quality, using parameter adaptation to achieve high compression ratios when signal conditions permit while maintaining acceptable quality when signals are weaker
3Quantity of substance
If compression techniques are applied, then the number of optical or wireless links is reduced, but latency jitter increases
Solution Approach 1:
The system applies periodic monitoring and adjustment of compression parameters, using time-based evaluation intervals to reassess signal conditions and optimize compression settings, which helps maintain consistent latency performance while achieving sustained compression benefits over time
Data Source
AI summary
A method and apparatus that compresses signal data to generate compressed signal data having a low latency jitter while maintaining an acceptable compression ratio and reasonable degradation, as is required by next generation systems. A method and apparatus for compressing data in a communication system by receiving uncompressed data at a compressor of the communication system, analyzing the uncompressed data at the compressor to estimate at least one compression parameter to be applied during the compression of the uncompressed data, compressing the uncompressed data utilizing the at least one estimated compression parameter, monitoring the performance level of the compressed data packet and adjusting the estimated compression parameter used to compress the uncompressed data if the compressed data packet does not exhibit a desired performance level.