The impact of independence assumptions on wireless communication analysis

Ezio Biglieri, I. Wei Lai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We consider some problems arising when a wireless communication system performance must be assessed in the presence of model uncertainties due to poorly known or unknown dependences of the random variables used to model the channel. We argue that performance bounds based on probability boxes can measure the extent of uncertainty caused by inaccurate models.

Original languageEnglish
Title of host publicationProceedings - ISIT 2016; 2016 IEEE International Symposium on Information Theory
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2184-2188
Number of pages5
ISBN (Electronic)9781509018062
DOIs
Publication statusPublished - 2016 Aug 10
Externally publishedYes
Event2016 IEEE International Symposium on Information Theory, ISIT 2016 - Barcelona, Spain
Duration: 2016 Jul 102016 Jul 15

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2016-August
ISSN (Print)2157-8095

Conference

Conference2016 IEEE International Symposium on Information Theory, ISIT 2016
CountrySpain
CityBarcelona
Period16/7/1016/7/15

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Applied Mathematics

Cite this

Biglieri, E., & Lai, I. W. (2016). The impact of independence assumptions on wireless communication analysis. In Proceedings - ISIT 2016; 2016 IEEE International Symposium on Information Theory (pp. 2184-2188). [7541686] (IEEE International Symposium on Information Theory - Proceedings; Vol. 2016-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIT.2016.7541686