7th International Conference on Communications and Networking in China

Research Article

QoS Constrained Robust MIMO Transceiver Design Under Unknown Interference

  • @INPROCEEDINGS{10.1109/ChinaCom.2012.6417497,
        author={Xin He and Jianwu Chen and Yik-Chung Wu},
        title={QoS Constrained Robust MIMO Transceiver Design Under Unknown Interference},
        proceedings={7th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2012},
        month={10},
        keywords={qos robust mimo transceiver design arbitrary distributed uncertainty},
        doi={10.1109/ChinaCom.2012.6417497}
    }
    
  • Xin He
    Jianwu Chen
    Yik-Chung Wu
    Year: 2012
    QoS Constrained Robust MIMO Transceiver Design Under Unknown Interference
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2012.6417497
Xin He,*, Jianwu Chen1, Yik-Chung Wu1
  • 1: The University of Hong Kong
*Contact email: hexin@eee.hku.hk

Abstract

We study the robust transceiver optimization in multiple-input multiple-output (MIMO) systems aiming at minimizing transmit power under probabilistic quality-of-service (QoS) requirements. Owing to the unknown distributed interference, the channel estimation error can be arbitrary distributed. Under this situation, the QoS requirements should account for the worst-case channel estimation error distribution. While directly finding the worst-case distribution is challenging, two methods are proposed to solve the robust transceiver design problem. One is based on the Chebyshev inequality, the other is based on a novel duality method. Simulation results show that the QoS requirement is satisfied by both proposed algorithms. Furthermore, among the two proposed methods, the duality method shows a superior performance in transmit power, while the Chebyshev method demonstrates a lower computational complexity.