ChinaCom2008-Signal Processing for Communications Symposium

Research Article

Receive Antenna Selection Using Convex Optimization for MIMO Systems

  • @INPROCEEDINGS{10.1109/CHINACOM.2008.4685056,
        author={Fenggang Sun and ju liu and Hongji Xu and peng Lan},
        title={Receive Antenna Selection Using Convex Optimization for MIMO Systems},
        proceedings={ChinaCom2008-Signal Processing for Communications Symposium},
        publisher={IEEE},
        proceedings_a={CHINACOM2008-SPC},
        year={2008},
        month={11},
        keywords={Convex optimization; MIMO systems; antenna selection;  fading channels},
        doi={10.1109/CHINACOM.2008.4685056}
    }
    
  • Fenggang Sun
    ju liu
    Hongji Xu
    peng Lan
    Year: 2008
    Receive Antenna Selection Using Convex Optimization for MIMO Systems
    CHINACOM2008-SPC
    IEEE
    DOI: 10.1109/CHINACOM.2008.4685056
Fenggang Sun1,*, ju liu2,*, Hongji Xu2,*, peng Lan2,*
  • 1: School of Information Science and Engineering, Shandong University,250100 Jinan, China , State Key Lab. of Mobile Communications Southeast University, 210096 Nanjing, China
  • 2: School of Information Science and Engineering, Shandong University,250100 Jinan, China
*Contact email: sfg1982@mail.sdu.edu.cn, juliu@sdu.edu.cn, hongjixu@sdu.edu.cn, lanpeng@mail.sdu.edu.cn

Abstract

In this paper, a receive antenna selection algorithm based on the theory of convex optimization is proposed to improve the system performance over Rayleigh fading multiple-input multiple-output (MIMO) channels. The algorithm is based on the aim of minimizing error rate, and by relaxing the antenna selection variables from discrete to continuous, we arrive at a standard semidefinite convex problem that can be solved very efficiently. The Monte-Carlo simulations show that the algorithm proposed can provide the performance very close to that of the optimal selection based on exhaustive search.