6th International ICST Symposium on Modeling and Optimization

Research Article

Rate and Power Allocation in Fading Multiple Access Channels

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  • @INPROCEEDINGS{10.4108/ICST.WIOPT2008.3215,
        author={Ali Parandehgheibi and Atilla Eryilmaz and Asuman Ozdaglar and Muriel Medard},
        title={Rate and Power Allocation in Fading Multiple Access Channels},
        proceedings={6th International ICST Symposium on Modeling and Optimization},
        publisher={IEEE},
        proceedings_a={WIOPT},
        year={2008},
        month={8},
        keywords={Fading Laboratories Multiaccess communication Power control Quality of service Resource management Statistics Throughput Transmitters Upper bound},
        doi={10.4108/ICST.WIOPT2008.3215}
    }
    
  • Ali Parandehgheibi
    Atilla Eryilmaz
    Asuman Ozdaglar
    Muriel Medard
    Year: 2008
    Rate and Power Allocation in Fading Multiple Access Channels
    WIOPT
    IEEE
    DOI: 10.4108/ICST.WIOPT2008.3215
Ali Parandehgheibi1,*, Atilla Eryilmaz2,*, Asuman Ozdaglar1,*, Muriel Medard1,*
  • 1: Laboratory for Information and Decision Systems, Electrical Engineering and Computer Science Department, Massachusetts Institute of Technology, Cambridge MA, 02139
  • 2: Electrical and Computer Engineering, Ohio State University, OH, 43210
*Contact email: parandeh@mit.edu, eryilmaz@ece.osu.edu, asuman@mit.edu, medard@mit.edu

Abstract

We consider the problem of rate and power allocation in a fading multiple-access channel. Our objective is to obtain rate and power allocation policies that maximize a utility function defined over average transmission rates. In contrast with the literature, which focuses on the linear case, we present results for general concave utility functions. We consider two cases. In the first case, we assume that power control is possible and channel statistics are known. In this case, we show that the optimal policies can be obtained greedily by maximizing a linear utility function at each channel state. In the second case, we assume that power control is not possible and channel statistics are not available. In this case, we define a greedy rate allocation policy and provide upper bounds on the performance difference between the optimal and the greedy policy. Our bounds highlight the dependence of the performance difference on the channel variations and the structure of the utility function.