Access Networks. 4th International Conference, AccessNets 2009, Hong Kong, China, November 1-3, 2009, Revised Selected Papers

Research Article

A Linear Precoding Design for Multi-Antenna Multicast Broadcast Services with Limited Feedback

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  • @INPROCEEDINGS{10.1007/978-3-642-11664-3_19,
        author={Eddy Chiu and Vincent Lau},
        title={A Linear Precoding Design for Multi-Antenna Multicast Broadcast Services with Limited Feedback},
        proceedings={Access Networks. 4th International Conference, AccessNets 2009, Hong Kong, China, November 1-3, 2009, Revised Selected Papers},
        proceedings_a={ACCESSNETS},
        year={2012},
        month={10},
        keywords={MIMO transmit precoding beamforming multicast MBS limited feedback},
        doi={10.1007/978-3-642-11664-3_19}
    }
    
  • Eddy Chiu
    Vincent Lau
    Year: 2012
    A Linear Precoding Design for Multi-Antenna Multicast Broadcast Services with Limited Feedback
    ACCESSNETS
    Springer
    DOI: 10.1007/978-3-642-11664-3_19
Eddy Chiu1,*, Vincent Lau1,*
  • 1: Hong Kong University of Science and Technology
*Contact email: eechiua@ust.hk, eeknlau@ee.ust.hk

Abstract

The provision for spectrally efficient multicast broadcast services (MBS) is one of the key functional requirements for next generation wireless communication systems. The challenge inherent to MBS is to ensure that all MBS users can be served, and one effective solution to this problem is to employ MIMO multicast transmit precoding. In previous works on MIMO multicast transmit precoding design, the authors either assumed 1) perfect transmitter-side channel state information (CSIT) or 2) special channel conditions that facilitate precoder design with imperfect CSIT. In this paper, we focus on transmit precoding design for MBS where the CSIT is obtained via limited feedback. In addition, we analyze the average minimum receive signal-noise-ratio (RxSNR) among the MBS users and study the order of growth with respect to the number of MBS users and the number of feedback bits. Finally, we propose a threshold based feedback reduction scheme and study the tradeoff between feedback cost and performance loss.