MIMO HARQ Symbol-Level Combining for Maximum-Likelihood Decoding
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Solution Overview
Problem
In multiple-input multiple-output (MIMO) data transmission systems, existing methods often fail to effectively utilize information from multiple received signal vectors to decode the transmitted signal accurately, leading to inefficiencies due to high system complexity and limited use of available data.
Innovation Solution
The system combines multiple received signal vectors using symbol-level combining techniques, such as maximal-ratio combining, and processes the combined signal vector to reduce noise and simplify decoding, employing channel preprocessor operations like Cholesky factorization to whiten noise and reduce decoding complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple received signal vectors are processed separately using conventional decoding methods, then the decoding process is simpler, but the decoding accuracy and reliability are reduced
Solution Approach 1:
The patent combines multiple received signal vectors into a single combined signal vector before decoding. This merging approach allows the system to utilize information from multiple transmissions simultaneously, improving decoding accuracy and reliability without requiring separate complex decoding processes for each signal vector. The combining operation integrates the signals in a way that enhances the overall signal quality while maintaining manageable system complexity.
2Reliability
If all information from multiple transmissions is utilized for decoding, then the reliability of data reception is improved, but the computational complexity increases
Solution Approach 1:
The patent performs signal combining as a preliminary operation before the actual decoding process. By combining multiple received signal vectors into a single combined signal vector beforehand, the system prepares optimized input data that contains integrated information from all transmissions. This preliminary combining step simplifies the subsequent decoding operation, as the decoder only needs to process one combined vector rather than multiple separate vectors, thereby reducing overall computational complexity while maintaining high reliability.
3Productivity
If conventional error correction codes are used without combining techniques, then the system implementation is simpler, but the effective utilization of multiple transmissions is limited
Solution Approach 1:
The patent implements a combining operation that merges multiple received signal vectors into a single combined signal vector. This combining technique enables the system to effectively utilize information from multiple transmissions by integrating the signals before decoding. The approach maximizes the productivity and effective utilization of available data from HARQ and repetition coding schemes, allowing the receiver to extract more reliable information from the combined signals while maintaining reasonable processing complexity through efficient combining algorithms.
Data Source
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 symbols of the received signal vectors are combined, forming a combined received signal vector that may be treated as a single received signal vector. The combined signal vector is then decoded using a maximum-likelihood decoder. In some embodiments, the combined received signal vector may be processed prior to decoding. Systems and methods are also provided for computing soft information from a combined signal vector based on a decoding metric. Computationally intensive calculations can be extracted from the critical path and implemented in preprocessors and/or postprocessors.