Error analysis of wireless transmission over generalized multipath/shadowing channels

Paschalis Sofotasios, Seong Ki Yoo, Sami Muhaidat, Simon Cotton, Michail Matthaiou, Mikko Valkama, George Karagiannidis

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

3 Citations (Scopus)
4 Downloads (Pure)

Abstract

The η-μ / inverse gamma and κ-μ / inverse gamma distributions were recently introduced as particularly flexible and tractable composite fading models that provide accurate characterization of multipath and shadowing effects, which are encountered simultaneously during wireless transmission in emerging communication scenarios such as off-body, cellular and vehicular-to-vehicular communications. The present contribution analyzes the symbol error rate performance of digital communications over these fading channels. To this end, we derive novel analytic expressions for the symbol error rate of multiple amplitude based modulated systems under these fading conditions, which are subsequently used in the analysis of the corresponding system performance. In this context, numerous insights are developed on the effect of different fading conditions on the corresponding error rate, which are expected to be useful in the design of timely and demanding wireless technologies such as wearable, cellular and vehicular communication systems.
Original languageEnglish
Title of host publication2018 IEEE Wireless Communications and Networking Conference (WCNC)
PublisherIEEE
Number of pages6
ISBN (Electronic)9781538617342
DOIs
Publication statusPublished - 11 Jun 2018
Externally publishedYes
EventIEEE Wireless Communications and Networking Conference: Leading the Way to 5G and Beyond - Barcelona, Spain
Duration: 15 Apr 201818 Apr 2018

Publication series

Name
ISSN (Electronic)1558-2612

Conference

ConferenceIEEE Wireless Communications and Networking Conference
CountrySpain
CityBarcelona
Period15/04/1818/04/18

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Keywords

  • Error Analysis
  • Fading Channels
  • Wireless Communication
  • Mathematical Model

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