Moments of Interference in Vehicular Networks with Hardcore Headway Distance

Kostas Koufos, Carl Dettmann

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

3 Citations (Scopus)
214 Downloads (Pure)

Abstract

Interference statistics in vehicular networks have long been studied using the Poisson Point Process (PPP) for the locations of vehicles. In roads with few number of lanes and restricted overtaking, this model becomes unrealistic because it assumes that the vehicles can come arbitrarily close to each other. In this paper, we model the headway distance (the distance between the head of a vehicle and the head of its follower) equal to the sum of a constant hardcore distance and an exponentially distributed random variable. We study the mean, the variance and the skewness of interference at the origin with this deployment model. Even though the pair correlation function becomes complicated, we devise simple formulae to capture the impact of hardcore distance on the variance of interference in comparison with a PPP model of equal intensity. In addition, we study the extreme scenario where the interference originates from a lattice. We show how to relate the variance of interference due to a lattice to that of a PPP under Rayleigh fading.
Original languageEnglish
Pages (from-to)8330-8341
Number of pages12
JournalIEEE Transactions on Wireless Communications
Volume17
Issue number12
Early online date23 Oct 2018
DOIs
Publication statusPublished - Dec 2018

Keywords

  • Headway models
  • Interference modeling
  • Stochastic Geometry
  • vehicular networks

Fingerprint Dive into the research topics of 'Moments of Interference in Vehicular Networks with Hardcore Headway Distance'. Together they form a unique fingerprint.

Cite this