The Influence of Gaussian Signaling Approximation on Error Performance in Cellular Networks

Laila H. Afify, Hesham Elsawy, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Stochastic geometry analysis for cellular networks is mostly limited to outage probability and ergodic rate, which abstracts many important wireless communication aspects. Recently, a novel technique based on the Equivalent-in-Distribution (EiD) approach is proposed to extend the analysis to capture these metrics and analyze bit error probability (BEP) and symbol error probability (SEP). However, the EiD approach considerably increases the complexity of the analysis. In this paper, we propose an approximate yet accurate framework, that is also able to capture fine wireless communication details similar to the EiD approach, but with simpler analysis. The proposed methodology is verified against the exact EiD analysis in both downlink and uplink cellular networks scenarios.
Original languageEnglish (US)
Pages (from-to)2202-2205
Number of pages4
JournalIEEE Communications Letters
Volume19
Issue number12
DOIs
StatePublished - Aug 18 2015

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