Reconfigurable Intelligent Surface Enabled IoT Networks in Generalized Fading Channels

Abubakar U. Makarfi, Khaled M. Rabie, Omprakash Kaiwartya, Osamah S. Badarneh, Xingwang Li, Rupak Kharel

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

34 Citations (Scopus)

Abstract

This paper studies an Internet-of-Things (IoT) network employing a reconfigurable intelligent surface (RIS) over generalized fading channels. Inspired by the promising potential of RIS-based transmission, we investigate a RIS-enabled IoT network with the source node employing a RIS-based access point. The system is modelled with reference to a receiver-transmitter pair and the Fisher-Snedecor \mathcal{F} model is adopted to analyse the composite fading and shadowing channel. Closed-form expressions are derived for the system with regards to the average capacity, average bit error rate (BER) and outage probability. Monte-Carlo simulations are provided throughout to validate the results. The results investigated and reported in this study extend early results reported in the emerging literature on RIS-enabled technologies and provides a framework for the evaluation of a basic RIS-enabled IoT network over the most common multipath fading channels. The results indicate the clear benefit of employing a RIS-enabled access point, as well as the versatility of the derived expressions in analysing the effects of fading and shadowing on the network. The results further demonstrate that for a RIS-enabled IoT network, there is the need to balance between the cost and benefit of increasing the RIS cells against other parameters such as increasing transmit power, especially at low SNR and/or high to moderate fading/shadowing severity.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Communications
Subtitle of host publicationICC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728150895
ISBN (Print)9781728150901
DOIs
Publication statusPublished - 27 Jul 2020
Externally publishedYes
Event2020 IEEE International Conference on Communications - Dublin, Ireland
Duration: 7 Jun 202011 Jun 2020

Publication series

NameIEEE International Conference on Communications
PublisherIEEE
Volume2020-June
ISSN (Print)1550-3607
ISSN (Electronic)1938-1883

Conference

Conference2020 IEEE International Conference on Communications
Abbreviated titleICC 2020
Country/TerritoryIreland
CityDublin
Period7/06/2011/06/20

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