2nd International ICST Conference on Communications and Networking in China

Research Article

Linear Multiuser MIMO Transceiver Optimization in Cooperative Networks

  • @INPROCEEDINGS{10.1109/CHINACOM.2007.4469441,
        author={Antti Tolli and Marian Codreanu and Markku Juntti},
        title={Linear Multiuser MIMO Transceiver Optimization in Cooperative Networks},
        proceedings={2nd International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2008},
        month={3},
        keywords={Base stations  Constraint optimization  Design optimization  Downlink  MIMO  Receiving antennas  Signal to noise ratio  Transceivers  Transmitters  Transmitting antennas},
        doi={10.1109/CHINACOM.2007.4469441}
    }
    
  • Antti Tolli
    Marian Codreanu
    Markku Juntti
    Year: 2008
    Linear Multiuser MIMO Transceiver Optimization in Cooperative Networks
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2007.4469441
Antti Tolli1,*, Marian Codreanu1, Markku Juntti1
  • 1: Centre for Wireless Communications, University of Oulu, P.O. Box 4500, 90014 University of Oulu, Finland.
*Contact email: antti.tolli@ee.oulu.fi

Abstract

Joint design of linear multiuser multiple–input multiple–output (MIMO) transceiver subject to different optimization criteria and with per base station (BS) and/or per antenna power constraints is considered. We assume a scenario, where cooperative processing of transmitted signal from several BS antenna heads is applied to users located within a soft handover region. Solutions for three optimization criteria are derived: maximization of the weighted sum rate, finding a maximum weighted common rate achievable for each scheduled user and maximization of minimum weighted SINR per stream. The linear joint transceiver optimization algorithms are compared to each other, as well as, to corresponding optimal nonlinear transmission methods. The proposed algorithms provide very efficient solutions despite of the non-convexity of the problems.