Modified QRM-ML Detection by Stage Reduction in MIMO Systems

Gunyoung Ko; SangKyu Park; Kwangmin Hyun

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.

Citation status

KCI Citation Counts (1)
열림/닫힘 버튼
REFERENCES (10)
열림/닫힘 버튼
* 2022년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

[journal] G. J. Foschini / 1998 / On limits of wireless communications in a fading environment when using multiple antennas / Wireless Personal communication 6 : 311~335

[journal] A. Goldsmith / 2003 / Capacity limits of MIMO channels / IEEE Journal on Selected Areas in Communications 21(5) : 684~702

[journal] Q. H. Spencer / 2004 / Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels / IEEE Transactions on Signal Processing 52(2)

[journal] M. Tuchler / 2002 / Minimum mean squared error equalization using a priori information / IEEE Transactions on Signal Processing 50(3)

[journal] Y. Jiang / 2011 / Performance analysis of ZF and MMSE equalizers for MIMO systems: An in-depth study of the high SNR regime / IEEE Transaction on Information Theory 57(4) : 2008~2026

[journal] M. O. Damen / 2003 / On maximum-likelihood detection and the search for the closest lattice point / IEEE Transaction on Information Theory 49(10) : 2389~2402

[confproc] H. Yao / 2002 / Lattice-reductionaided detectors for MIMO communication systems / IEEE Global Telecommunication Conference 1 : 424~428

[confproc] D. Wubben / 2004 / Near-maximum-likelihood detection of MIMO systems using MMSE-based lattice-reduction / IEEE International Conference Communications 2 : 798~802

[confproc] G. Ko / 2014 / A QRM-MLD algorithm with low complexity by stage reduction / IEEE Vehicular Technology Society Asia Pacific Wireless Communications Symposium

[journal] 임태호 / 2011 / An Efficient Soft-Output MIMO Detection Method Based on a Multiple-Channel-Ordering Technique / ETRI Journal / 한국전자통신연구원 33(5) : 661~669

KJC Korea
Journal Central

Statistics

Tools

Sharing

Issue List

Citation status