• DocumentCode
    713650
  • Title

    Spatial-correlations and load-awareness in heterogeneous networks

  • Author

    Shojaeifard, Arman ; Hamdi, Khairi Ashour ; Alsusa, Emad ; So, Daniel K. C. ; Jie Tang

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
  • fYear
    2015
  • fDate
    9-12 March 2015
  • Firstpage
    111
  • Lastpage
    116
  • Abstract
    We present a new unified model for the design and analysis of load-aware downlink heterogeneous networks (HetNets) where interferers are inherently spatially-correlated. A closed-form expression for the aggregate network interference statistics generated by correlated load-proportional tiers of base stations (BSs) over Nakagami-m fading interfering channels is developed. This approach allows for relaxation of several major limitations in the existing state-of-the-art models, in particular the always-on-BSs, uncorrelated interferers, and Rayleigh fading with no shadowing assumptions. The validity and advantages of the proposed load-aware framework over the heavily-adopted fully-loaded model and the more recent interference-thinning-based approximation are confirmed via extensive Monte-Carlo (MC) simulations. The results reveal several important trends and design guidelines for the practical deployment of HetNets.
  • Keywords
    Monte Carlo methods; Nakagami channels; Rayleigh channels; approximation theory; correlation theory; interference suppression; HetNets; Monte Carlo method; Nakagami-m fading interfering channel; Rayleigh fading; base station; correlated load proportional tiers; interference thinning-based approximation; load aware downlink heterogeneous network; load awareness; network interference statistics; spatial correlation; uncorrelated interferer; Aggregates; Analytical models; Conferences; Fading; Interference; Load modeling; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2015 IEEE
  • Conference_Location
    New Orleans, LA
  • Type

    conf

  • DOI
    10.1109/WCNC.2015.7127454
  • Filename
    7127454