Modified QRM-ML Detection by Stage Reduction in MIMO Systems
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In this paper, modified QRM-ML detection algorithm is proposed to reduce computational complexity of the conventional QRM-ML detection algorithm in MIMO systems. We consider a stage reduction algorithm to QRM-ML detection algorithm and arrange all steps of each stage and computational complexity, which is calculated the number of multiplications per each step. The proposed detection algorithm has lower complexity than full candidates of QRM-ML detection algorithm. It also has no saturation on BER performance and better performance in high SNR than QRM-ML detection algorithm of lower candidates, which has a similar complexity to proposed algorithm. We also set a new arbitrary parameter which can adjust the number of reduced stages, and it can be selected by considering a trade-off relationship between BER performance and computational complexity. A stage reduction algorithm and each detection algorithm are presented in a row and compared in terms of BER performance and computational complexity by numerical results and experimentations. In the process of experimentations, the cross points of conventional QRM-ML detection algorithm and modified QRM-ML detection algorithm in BER performance graphs are also analyzed in diverse situations and compared in terms of efficiency of proposed algorithm according to the number of antennas and modulation order.
Abstract
In this paper, modified QRM-ML detection algorithm is proposed to reduce computational complexity of the conventional QRM-ML detection algorithm in MIMO systems. We consider a stage reduction algorithm to QRM-ML detection algorithm and arrange all steps of each stage and computational complexity, which is calculated the number of multiplications per each step. The proposed detection algorithm has lower complexity than full candidates of QRM-ML detection algorithm. It also has no saturation on BER performance and better performance in high SNR than QRM-ML detection algorithm of lower candidates, which has a similar complexity to proposed algorithm. We also set a new arbitrary parameter which can adjust the number of reduced stages, and it can be selected by considering a trade-off relationship between BER performance and computational complexity. A stage reduction algorithm and each detection algorithm are presented in a row and compared in terms of BER performance and computational complexity by numerical results and experimentations. In the process of experimentations, the cross points of conventional QRM-ML detection algorithm and modified QRM-ML detection algorithm in BER performance graphs are also analyzed in diverse situations and compared in terms of efficiency of proposed algorithm according to the number of antennas and modulation order.
참고문헌 (10)
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