Concatenation-Assisted Symbol-Level Combining for MIMO HARQ Systems
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Solution Overview
Problem
Current multiple-input multiple-output (MIMO) data transmission systems face challenges in effectively decoding received signal vectors due to noise and channel effects, often requiring complex systems to utilize information from multiple transmissions, which increases complexity and may not fully leverage available data.
Innovation Solution
The system combines multiple received signal vectors from the same transmit signal vector before decoding, using protocols like HARQ type-I and repetition coding, and processes the concatenated channel response matrices to reduce receiver complexity, allowing for decoding with a single decoder regardless of the number of received vectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple received signal vectors are combined before decoding to improve reliability, then error correction capability is improved, but receiver complexity increases
Solution Approach 1:
The patent combines multiple received signal vectors corresponding to the same transmitted signal vector into a single concatenated vector before decoding. This merging approach allows the system to leverage information from multiple transmissions (including retransmissions under HARQ protocols) to improve error correction capability while maintaining a unified decoding process that avoids the complexity of managing multiple separate decoders
Solution Approach 2:
The patent employs a single universal decoder that can process concatenated signal vectors of varying lengths corresponding to different numbers of received transmissions. This universal decoder replaces the need for multiple specialized decoders, thereby reducing receiver complexity while maintaining the ability to handle various transmission scenarios (single transmission, multiple transmissions, HARQ retransmissions)
2Device complexity
If a single decoder is used for concatenated vectors of varying lengths, then device complexity is reduced, but decoding accuracy may deteriorate
Solution Approach 1:
The patent implements a dynamic decoding approach where the single decoder adapts to varying concatenated vector lengths based on the number of received transmissions. The decoder dynamically adjusts its processing to handle different amounts of combined signal data while maintaining optimal decoding accuracy through protocols like HARQ that ensure the concatenated vectors contain sufficient information for reliable decoding
Data Source
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AI summary
Systems and methods are provided for decoding signal vectors in multiple- input multiple -output (MIMO) systems, where the receiver has received one or more signal vectors from the same transmitted vector. The receiver combines the received vectors by vector concatenation The concatenated vector may then be decoded using, for example, maximum- likelihood decoding. In some embodiments, the combined signal vector is equalized before decoding. HARQ Type I is envisaged as retransmission scheme. An equalizer is also used before the detection and performs equalization of the concatenated vector either by QR decomosition or ZF equalization.