Spatial spectrum and energy efficiency of random cellular networks

Xiaohu Ge, Bin Yang, Junliang Ye, Guoqiang Mao, Cheng Xiang Wang, Tao Han

Research output: Contribution to journalArticlepeer-review

152 Citations (Scopus)
92 Downloads (Pure)

Abstract

It is a great challenge to evaluate the network performance of cellular mobile communication systems. In this paper, we propose new spatial spectrum and energy efficiency models for Poisson-Voronoi tessellation (PVT) random cellular networks. To evaluate the user access to the network, a Markov chain based wireless channel access model is first proposed for PVT random cellular networks. On that basis, the outage probability and blocking probability of PVT random cellular networks are derived, which can be computed numerically. Furthermore, taking into account the call arrival rate, the path loss exponent and the base station (BS) density in random cellular networks, spatial spectrum and energy efficiency models are proposed and analyzed for PVT random cellular networks. Numerical simulations are conducted to evaluate the network spectrum and energy efficiency in PVT random cellular networks.

Original languageEnglish
Article number7015548
Pages (from-to)1019-1030
Number of pages12
JournalIEEE Transactions on Communications
Volume63
Issue number3
DOIs
Publication statusPublished - Mar 2015

Keywords

  • Analytical models
  • Channel models
  • energy efficiency
  • Fading
  • Interference
  • Markov chain
  • Markov processes
  • Poisson-Voronoi tessellation
  • Random cellular networks
  • Signal to noise ratio
  • spectrum efficiency
  • Wireless communication

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