Optimal non-uniform deployments in ultra-dense finite-area cellular networks

Pete Pratt, Carl Dettmann, Orestis Georgiou

Research output: Contribution to journalArticle (Academic Journal)peer-review

5 Citations (Scopus)
318 Downloads (Pure)

Abstract

Network densification and heterogenisation through the deployment of small cellular access points (picocells and femtocells) are seen as key mechanisms in handling the exponential increase in cellular data traffic. Modelling such networks by leveraging tools from Stochastic Geometry has proven particularly useful in understanding the fundamental limits imposed on network coverage and capacity by co-channel interference. Most of these works however assume infinite sized and uniformly distributed networks on the Euclidean plane. In contrast, we study finite sized non-uniformly distributed networks, and find the optimal non-uniform distribution of access points which maximises network coverage for a given non-uniform distribution of mobile users, and vice versa.
Original languageEnglish
Pages (from-to)1139-1142
Number of pages4
JournalIEEE Communications Letters
Volume21
Issue number5
Early online date1 Feb 2017
DOIs
Publication statusPublished - 10 May 2017

Keywords

  • Interference
  • Analytical models
  • Artificial neural networks
  • Probability density function
  • Signal to noise ratio
  • Cellular networks
  • Stochastic processes

Fingerprint

Dive into the research topics of 'Optimal non-uniform deployments in ultra-dense finite-area cellular networks'. Together they form a unique fingerprint.

Cite this