Broadband Communications, Networks, and Systems. 7th International ICST Conference, BROADNETS 2010, Athens, Greece, October 25–27, 2010, Revised Selected Papers

Research Article

Efficient Resource Allocation Algorithm for Spatial Multiuser Access in MISO OFDMA Systems

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  • @INPROCEEDINGS{10.1007/978-3-642-30376-0_13,
        author={Vasileios Papoutsis and Ioannis Fraimis and Stavros Kotsopoulos},
        title={Efficient Resource Allocation Algorithm for Spatial Multiuser Access in MISO OFDMA Systems},
        proceedings={Broadband Communications, Networks, and Systems. 7th International ICST Conference, BROADNETS 2010, Athens, Greece, October 25--27, 2010, Revised Selected Papers},
        proceedings_a={BROADNETS},
        year={2012},
        month={10},
        keywords={MISO OFDMA resource allocation Zero-Forcing proportional fairness},
        doi={10.1007/978-3-642-30376-0_13}
    }
    
  • Vasileios Papoutsis
    Ioannis Fraimis
    Stavros Kotsopoulos
    Year: 2012
    Efficient Resource Allocation Algorithm for Spatial Multiuser Access in MISO OFDMA Systems
    BROADNETS
    Springer
    DOI: 10.1007/978-3-642-30376-0_13
Vasileios Papoutsis1,*, Ioannis Fraimis1,*, Stavros Kotsopoulos1,*
  • 1: University of Patras
*Contact email: vpapoutsis@ece.upatras.gr, ifraimhs@ece.upatras.gr, kotsop@ece.upatras.gr

Abstract

The problem of user selection and resource allocation for the downlink of wireless systems operating over a frequency-selective channel is investigated. It is assumed that the Base Station (BS) uses many antennas, whereas a single antenna is available to each user and Orthogonal Frequency Division Multiple Access (OFDMA) is used as a multiple access scheme. The general mathematical formulation is provided but achieving the optimal solution has a high computational cost. For practical implementation, a suboptimal, but efficient algorithm is devised that is based both on Zero Forcing (ZF) beamforming and on spatial correlation and is less complex than other approaches. The algorithm maximizes the sum of the users’ data rates subject to constraints on total available power and proportional fairness among users’ data rates. Simulation results are provided to indicate that the algorithm can satisfy the fairness criterion. Thus, the algorithm can be applied to latest-generation wireless systems that provide Quality-of-Service (QoS) guarantees.