Iterative MMSE-based soft MIMO detection with parallel interference cancellation

Iterative MMSE-based soft MIMO detection with parallel interference cancellation

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Minimum mean square error (MMSE)-based techniques are often used for the joint iterative detection and decoding that is for coded multi-input–multi-output (MIMO) system due to a sound complexity and the performance trade-off. This study proposes an enhanced MMSE-based soft MIMO-detection scheme by using three main ideas. The first idea is an efficient complexity-reduced soft-bit estimation technique, the second one is a performance improvement method utilised inside the MMSE detection process, and the third one is a complexity-reduced soft-symbol estimation method for quadrature amplitude modulation. The proposed ideas enable the interference-cancellation processes to be activated in parallel on each symbol layer, thereby reducing the processing time. The simulation results show that the proposed method efficiently contributes to the improvement of the performance in addition to its reduction of the linear-order complexity.


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