Tail asymptotics of signal-to-interference ratio distribution in spatial cellular network models

Naoto Miyoshi, Tomoyuki Shirai

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

We consider a spatial stochastic model of wireless cellular networks, where the base stations (BSs) are deployed according to a simple and stationary point process on Rd, d ≥ 2. In this model, we investigate tail asymptotics of the distribution of signal-to-interference ratio (SIR), which is a key quantity in wireless communications. In the case where the pathloss function representing signal attenuation is unbounded at the origin, we derive the exact tail asymptotics of the SIR distribution under an appropriate sufficient condition. While we show that widely-used models based on a Poisson point process and on a determinantal point process meet the sufficient condition, we also give a counterexample violating it. In the case of bounded path-loss functions, we derive a logarithmically asymptotic upper bound on the SIR tail distribution for the Poisson-based and α-Ginibrebased models. A logarithmically asymptotic lower bound with the same order as the upper bound is also obtained for the Poisson-based model.

Original languageEnglish
Pages (from-to)431-453
Number of pages23
JournalProbability and Mathematical Statistics
Volume37
Issue number2
DOIs
Publication statusPublished - Jan 1 2017

All Science Journal Classification (ASJC) codes

  • Statistics and Probability

Fingerprint Dive into the research topics of 'Tail asymptotics of signal-to-interference ratio distribution in spatial cellular network models'. Together they form a unique fingerprint.

  • Cite this