10th EAI International Conference on Communications and Networking in China

Research Article

Link-level Performance Estimation of ML Receiver in MIMO-OFDM Systems

  • @INPROCEEDINGS{10.4108/eai.15-8-2015.2260813,
        author={Shuang Tian and Dai Jia and Jinhong Yuan and Xingqing Cheng and Lei Wan and Zesong Fei},
        title={Link-level Performance Estimation of ML Receiver in MIMO-OFDM Systems},
        proceedings={10th EAI International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2015},
        month={9},
        keywords={l2s ml receiver mimo-ofdm rbir mcs},
        doi={10.4108/eai.15-8-2015.2260813}
    }
    
  • Shuang Tian
    Dai Jia
    Jinhong Yuan
    Xingqing Cheng
    Lei Wan
    Zesong Fei
    Year: 2015
    Link-level Performance Estimation of ML Receiver in MIMO-OFDM Systems
    CHINACOM
    IEEE
    DOI: 10.4108/eai.15-8-2015.2260813
Shuang Tian1, Dai Jia2,*, Jinhong Yuan1, Xingqing Cheng3, Lei Wan3, Zesong Fei2
  • 1: School of Electrical Engineering and Telecommunications, The University of New South Wales
  • 2: School of Information and Electronics, Beijing Institute of Technology, P.R.China
  • 3: Huawei Technologies Co., Ltd, P.R.China
*Contact email: jiadai19891113@163.com

Abstract

Multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) technology is expected to provide theoretical capacity approaching performance if link adaptation techniques are employed. In this paper, we propose a new link-level estimation technique for maximum likelihood detector. The new proposed technique is able to decouple the modulation level and coding rate from each other in the modeling process. Both convolutional codes and Turbo codes are considered in this paper, with various coding rates and modulation schemes. It has been demonstrated through simulation that the proposed model provides satisfactory link performance prediction accuracy for various coding rates and modulation schemes.