ChinaCom2008-Information and Coding Theory Symposium

Research Article

The Effect of User Distribution on a Linear Cellular Multiple-Access Channel

  • @INPROCEEDINGS{10.1109/CHINACOM.2008.4684977,
        author={Symeon Chatzinotas and Muhammad Ali Imran and Costas Tzaras},
        title={The Effect of User Distribution on a Linear Cellular Multiple-Access Channel},
        proceedings={ChinaCom2008-Information and Coding Theory Symposium},
        publisher={IEEE},
        proceedings_a={CHINACOM2008-ICT},
        year={2008},
        month={11},
        keywords={Multicell Decoding; Cellular Gaussian Multiple-Access Channel; User Distribution},
        doi={10.1109/CHINACOM.2008.4684977}
    }
    
  • Symeon Chatzinotas
    Muhammad Ali Imran
    Costas Tzaras
    Year: 2008
    The Effect of User Distribution on a Linear Cellular Multiple-Access Channel
    CHINACOM2008-ICT
    IEEE
    DOI: 10.1109/CHINACOM.2008.4684977
Symeon Chatzinotas1,*, Muhammad Ali Imran1,*, Costas Tzaras1,*
  • 1: Centre for Communication Systems Research University of Surrey, United Kingdom, GU2 7XH
*Contact email: S.Chatzinotas@surrey.ac.uk, M.Imran@surrey.ac.uk, C.Tzaras@surrey.ac.uk

Abstract

The Gaussian Cellular Multiple-Access Channel (GCMAC) has been the starting point for studying the Shannon-theoretic limits of cellular systems. In 1994, a simple infinite GCMAC was initially introduced by Wyner and was subsequently extended by researchers to incorporate flat fading environments and power-law path loss models. However, Wyner-like models, preserve a fundamental assumption, namely the symmetry of User Terminals (UTs). In this paper, we investigate the effect of this assumption on the sum-rate capacity limits, by examining the case of distributed and thus asymmetric UTs. The model under investigation is a GCMAC over a linear cellular array in the presence of power-law path loss and flat fading. In this context, we study the effect of UT distribution for cell-centre and cell-edge UTs and we show that its effect is considerable only in the case of low cell density.