5th International ICST Conference on Communications and Networking in China

Research Article

Adaptive joint multi-cell reception with uplink power control and beamforming

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  • @INPROCEEDINGS{10.4108/chinacom.2010.123,
        author={Wei Li and Markku Juntti and Xiaojia Lu and Antti T\o{}lli and Esa Kunnari and Olli Piirainen},
        title={Adaptive joint multi-cell reception with uplink power control and beamforming},
        proceedings={5th International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2011},
        month={1},
        keywords={Power control receive beamforming coordinated multi base station reception},
        doi={10.4108/chinacom.2010.123}
    }
    
  • Wei Li
    Markku Juntti
    Xiaojia Lu
    Antti Tölli
    Esa Kunnari
    Olli Piirainen
    Year: 2011
    Adaptive joint multi-cell reception with uplink power control and beamforming
    CHINACOM
    ICST
    DOI: 10.4108/chinacom.2010.123
Wei Li1,*, Markku Juntti1,*, Xiaojia Lu1,*, Antti Tölli1,*, Esa Kunnari1,*, Olli Piirainen2,*
  • 1: Centre for Wireless Communications, P.O. Box 4500 FI-90014 University of Oulu, Finland
  • 2: Nokia Siemens Networks, Kaapelitie 4,90630 Oulu, Finland
*Contact email: wei.li@ee.oulu.fi, markku.juntti@ee.oulu.fi, xiaojia.lu@ee.oulu.fi, antti.tolli@ee.oulu.fi, esa.kunnari@ee.oulu.fi, olIi.piirainen@nsn.com

Abstract

Assuming that multiple base stations (BSs) are coordinated for the joint reception of each user's transmitted signal in the uplink, we study the sum power minimization (SP-MIN) problem for the cellular systems. As BSs may have multiple antennas, power control and receive beamforming are jointly optimized with the adaptive multi BS set (MBS) selection for each user. By doing optimization iteratively, an algorithm is proposed to find the minimum transmit power. Although the SP-Min problem is non-convex in general, it is proven that the proposed algorithm using the optimal MBS selection can converge to the optimal solution as long as it is feasible. To improve the computational efficiency of the algorithm, two simplified MBS selection schemes have been presented as well as the optimal scheme. Using the proposed algorithm with either the optimal or the simplified MBS selection schemes, a significant power efficiency improvement is obtained which is verified by the system level simulations.