Error performance analysis in K-tier uplink cellular networks using a stochastic geometric approach

  • Laila Hesham Afify
  • , Hesham ElSawy
  • , Tareq Y. Al-Naffouri
  • , Mohamed Slim Alouini

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

In this work, we develop an analytical paradigm to analyze the average symbol error probability (ASEP) performance of uplink traffic in a multi-tier cellular network. The analysis is based on the recently developed Equivalent-in-Distribution approach that utilizes stochastic geometric tools to account for the network geometry in the performance characterization. Different from the other stochastic geometry models adopted in the literature, the developed analysis accounts for important communication system parameters and goes beyond signal-to-interference-plus-noise ratio characterization. That is, the presented model accounts for the modulation scheme, constellation type, and signal recovery techniques to model the ASEP. To this end, we derive single integral expressions for the ASEP for different modulation schemes due to aggregate network interference. Finally, all theoretical findings of the paper are verified via Monte Carlo simulations.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Communication Workshop, ICCW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages87-93
Number of pages7
ISBN (Electronic)9781467363051
DOIs
StatePublished - 8 Sep 2015

Publication series

Name2015 IEEE International Conference on Communication Workshop, ICCW 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Aggregate interference distribution
  • equivalent-indistribution
  • multi-tier uplink cellular networks
  • per user power control
  • stochastic geometry

ASJC Scopus subject areas

  • Computer Networks and Communications

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