• DocumentCode
    3753094
  • Title

    Will the Area Spectral Efficiency Monotonically Grow as Small Cells Go Dense?

  • Author

    Ming Ding;David Lopez-Perez;Guoqiang Mao;Peng Wang;Zihuai Lin

  • Author_Institution
    Nat. ICT Australia, Eveleigh, ACT, Australia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper, we introduce a sophisticated path loss model into the stochastic geometry analysis incorporating both line-of-sight (LoS) and non-line-of-sight (NLoS) transmissions to study their performance impact in small cell networks (SCNs). Analytical results are obtained on the coverage probability and the area spectral efficiency (ASE) assuming both a general path loss model and a special case of path loss model recommended by the 3rd Generation Partnership Project (3GPP) standards. The performance impact of LoS and NLoS transmissions in SCNs in terms of the coverage probability and the ASE is shown to be significant both quantitatively and qualitatively, compared with previous work that does not differentiate LoS and NLoS transmissions. From the investigated set of parameters, our analysis demonstrates that when the density of small cells is larger than a threshold, the network coverage probability will decrease as small cells become denser, which in turn makes the ASE suffer from a slow growth or even a notable decrease. For practical regime of small cell density, the performance results derived from our analysis are distinctively different from previous results, and shed new insights on the design and deployment of future dense/ultra-dense SCNs. It is of significant interest to further study the generality of our conclusion in other network models and with other parameter sets.
  • Keywords
    "Interference","Propagation losses","Signal to noise ratio","Australia","Analytical models","Standards","Transmitters"
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2015 IEEE
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2015.7416981
  • Filename
    7416981