5th International ICST Conference on Communications and Networking in China

Research Article

Joint channel estimation for downlink base station cooperative transmission exploiting channel asymmetry

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  • @INPROCEEDINGS{10.4108/chinacom.2010.6,
        author={Xueying Hou and Chenyang Yang},
        title={Joint channel estimation for downlink base station cooperative transmission exploiting channel asymmetry},
        proceedings={5th International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2011},
        month={1},
        keywords={Channel estimation Downlink Fading Joints Robustness Throughput Training},
        doi={10.4108/chinacom.2010.6}
    }
    
  • Xueying Hou
    Chenyang Yang
    Year: 2011
    Joint channel estimation for downlink base station cooperative transmission exploiting channel asymmetry
    CHINACOM
    ICST
    DOI: 10.4108/chinacom.2010.6
Xueying Hou1, Chenyang Yang1
  • 1: School of Electronics and Information Engineering, Beihang University, Beijing, China

Abstract

In this paper, we study uplink joint channel estimation for downlink base station cooperative transmission orthogonal frequency division multiplexing systems. We present three linear estimators which jointly estimates the channel coefficients from users in different cells with minimum mean square error (MSE), robust design and least square criterion, then we analyze their performance. We find that due to the asymmetric feature of the multi-cell channels in cooperative transmission systems, the MSE for different links with three joint estimators differ. When the channel energy information is exploited for channel estimation, the cross channels that experience large attenuation have smaller estimation MSEs than the local channels, and using non-orthogonal training sequences among users in different cells leads to minor performance loss. This is in contrast to the traditional understanding. To reduce the complexity of the estimators when non-orthogonal training sequences are used, we also present an interference cancelation based estimator. Both the channel estimation errors and the throughput of the cooperative transmission system are simulated to verify our analysis.