DAS Endpoint Data Compression for MIMO Signal Transport
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Solution Overview
Problem
Digital distributed antenna systems face bottlenecks in data traffic due to limited data rates on serial links, especially when handling Multiple-Input Multiple-Output (MIMO) signals, which increases installation costs and complicates upgrades in existing systems.
Innovation Solution
The system exploits correlation between MIMO signals to reduce data transmission by sending only uncorrelated data over the serial link, using data compression mechanisms that compare multiple MIMO receive signals and remove redundancy, allowing for efficient data handling without significant duplication of correlated data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If multiple digital serial links are implemented in parallel to increase data rate, then the data transmission capacity is improved, but the installation cost and system complexity increase significantly
Solution Approach 1:
The patent combines multiple MIMO signal streams into a single digital serial link by exploiting signal correlation. Instead of using multiple parallel links, the system merges the transport of multiple correlated signals through one link, reducing the number of physical connections and system complexity while maintaining data transmission capacity.
Solution Approach 2:
The patent changes the representation parameters of MIMO signals by removing redundant correlated components. By transforming the signal format to eliminate duplication, the system achieves efficient transmission over a single link with reduced data rate requirements compared to transmitting all signals in full detail.
2Reliability
If multiple MIMO signal streams are handled over the serial link, then the communication performance is improved, but the data traffic and bandwidth requirements increase
Solution Approach 1:
The patent extracts and removes redundant correlated data from MIMO signal streams before transmission. By identifying and eliminating duplicate information across multiple signal streams, the system reduces the total data traffic that must be transmitted over the serial link while preserving the essential communication performance.
Solution Approach 2:
The patent transforms the data representation by removing correlated components from MIMO streams. This parameter change in how signals are encoded and transmitted reduces the overall data volume while maintaining the integrity and performance of the communication system.
3Productivity
If data compression is applied to reduce bandwidth requirements, then the serial link efficiency is improved, but the processing complexity and potential delays increase
Solution Approach 1:
The patent applies parameter changes by transforming correlated MIMO signals into a compressed representation that removes redundancy. This change in signal parameters achieves efficient bandwidth utilization while the processing complexity is managed through systematic correlation exploitation rather than complex compression algorithms.
Solution Approach 2:
The patent replaces complex mechanical or hardware-based data reduction approaches with signal processing methods that exploit correlation. Instead of using multiple physical links or complex compression hardware, the system uses computational methods to achieve data reduction, substituting processing complexity for physical system complexity.
Data Source
AI summary
An endpoint element of a distributed antenna system includes processing circuitry configured for processing a plurality of digital signals for conditioning the signals and compression circuitry configured for compressing at least one of the digital signals according to a compression scheme to yield at least one compressed digital signal and compression settings. The digital signals are combined into a single digital stream and combined and time division multiplexed onto a serial data link with the compression settings. The digital signals are also transmitted with compression settings to another endpoint element over the serial data link.