8th International Conference on Communications and Networking in China

Research Article

Adaptive Grouping-Modulation Aided Transceiver Design for High-Order MIMO Systems

  • @INPROCEEDINGS{10.1109/ChinaCom.2013.6694675,
        author={Jie Xiao and Pinyi Ren and Qinghe Du and Li Sun},
        title={Adaptive Grouping-Modulation Aided Transceiver Design for High-Order MIMO Systems},
        proceedings={8th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2013},
        month={11},
        keywords={high order mimo adaptive grouping-modulation orthogonal grouping adaptive detector selection},
        doi={10.1109/ChinaCom.2013.6694675}
    }
    
  • Jie Xiao
    Pinyi Ren
    Qinghe Du
    Li Sun
    Year: 2013
    Adaptive Grouping-Modulation Aided Transceiver Design for High-Order MIMO Systems
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2013.6694675
Jie Xiao, Pinyi Ren1,*, Qinghe Du1, Li Sun1
  • 1: Department of Information and Communications Engineering, Xi'an Jiaotong University
*Contact email: pyren@mail.xjtu.edu.cn

Abstract

Recently, high-order Multi-Input Multi-Output (MIMO) systems with tens of antennas and large constellation have attracted a great deal of research attention as the data rate and required spectral efficiency drastically increase. One of the major challenges for such systems is the design of low-complexity detector. In this paper, we propose an adaptive grouping-modulation aided transceiver design (AGM-TD) for high-order MIMO systems. By adopting adaptive grouping-modulation at the transmitter, AGM-TD algorithm divides the transmit antennas with different SNR level into two groups employing different modulation order. At the receiver end, two sub-MIMO systems associated with the two groups perform independent detection by applying orthogonal grouping. Moreover, in order to gain better bit error rate (BER) performance with an affordable complexity, an adaptive detector selection scheme for each sub-MIMO system is applied. Simulation evaluations demonstrate that the proposed algorithm can obtain 2~3dB performance gain when targeting BER at 10^-5 as compared to the existing orthogonal grouping based detection algorithm (OGNO).