Packet Segment Compression Parameters for Wireless Data
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Solution Overview
Problem
Current data compression techniques in wireless communication networks fail to achieve a user-programmable compression target while maintaining low latency jitter and acceptable data degradation, especially with the increased bandwidth demands of next-generation communication standards like 3GPP LTE-A and IEEE 802.16m.
Innovation Solution
A novel compression scheme that segments data packets into individual segments, estimates compression parameters based on each segment's characteristics, and embeds these parameters into the compressed packets for transmission, allowing for adaptive compression that reduces bandwidth requirements and maintains low latency jitter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If current compression techniques are used, then compression ratio can be achieved, but latency jitter becomes unacceptably high and data degradation increases
Solution Approach 1:
The patent divides incoming data packets into multiple segments before compression. Each segment is compressed independently with its own parameter estimation, allowing parallel processing and reducing overall latency jitter while maintaining acceptable data degradation levels through selective reconstruction.
Solution Approach 2:
The patent dynamically adjusts compression parameters for each packet segment based on real-time analysis of signal characteristics. This adaptive approach optimizes the balance between compression ratio, latency jitter, and data degradation by modifying compression intensity according to segment-specific conditions.
2Productivity
If higher data rates are implemented for carrier aggregation with MIMO and CoMP, then spectral efficiency increases, but infrastructure cost increases due to more optical or wireless links
Solution Approach 1:
The patent combines multiple data streams from carrier aggregation, MIMO antennas, and CoMP operations into a unified compression framework. By merging these streams and applying joint compression with shared parameter estimation, the system reduces the total data volume requiring transmission over optical or wireless links, thereby reducing infrastructure costs.
3Loss of information
If compression parameters are estimated for entire packets, then processing complexity is reduced, but compression ratio and performance degradation become unacceptable
Solution Approach 1:
The patent segments packets into smaller units for independent parameter estimation. This segmentation allows more precise local compression parameters to be derived for each segment, improving overall compression ratio and performance while the modular structure manages complexity through reuse of estimation algorithms across segments.
Solution Approach 2:
The patent applies different compression parameters to different packet segments based on their specific signal characteristics. This local quality approach estimates parameters tailored to each segment's content, achieving better compression ratios and performance preservation compared to uniform packet-level parameters, while managing complexity through localized processing.
Data Source
AI summary
A method and apparatus for compressing data in a communication system by receiving uncompressed packet at a compressor of the communication system, segmenting the packet into a plurality of packet segments, estimating packet segment compression parameters for each of the plurality of packet segments and compressing the packet segments utilizing one or more of the estimated packet segment compression parameters that are estimated and adjusted based upon the signal characteristics of the uncompressed packet and a desired compression ratio.