RIS-Assisted Vehicular Network with Direct Transmission over Double-Generalized Gamma Fading Channels

Vinay Kumar Chapala, Arsalan Malik, S. M. Zafaruddin

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

5 Scopus citations

Abstract

Reconfigurable intelligent surface (RIS) can provide stable connectivity for vehicular communications when direct transmission becomes significantly weaker with dynamic channel conditions between an access point and a moving vehicle. In this paper, we analyze the performance of a RIS-assisted vehicular network by coherently combining received signals reflected by RIS elements and direct transmissions from the source terminal over double generalized Gamma (dGG) fading channels. We present analytical expressions on the outage probability and average bit-error rate (BER) performance of the considered system by deriving exact density and distribution functions for the end-to-end signal-to-noise ratio (SNR) resulted from the finite sum of the direct link and product of channel coefficients each distributed according to the dGG. We also develop asymptotic analysis on the outage probability and average BER to derive diversity order for a better insight into the system performance at high SNR. We validate the derived analytical expressions through numerical and simulation results and demonstrate scaling of the system performance with RIS elements and a comparison to the conventional relaying techniques and direct transmissions considering various practically relevant scenarios.

Original languageEnglish
Title of host publication2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665482431
DOIs
StatePublished - 2022
Externally publishedYes
Event95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring - Helsinki, Finland
Duration: 19 Jun 202222 Jun 2022

Publication series

NameIEEE Vehicular Technology Conference
Volume2022-June
ISSN (Print)1550-2252

Conference

Conference95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring
Country/TerritoryFinland
CityHelsinki
Period19/06/2222/06/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Funding

This work was supported in part by the Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Government of India, under MATRICS Grant MTR/2021/000890 and Start-up Research Grant SRG/2019/002345.

FundersFunder number
Department of Science and Technology, Ministry of Science and Technology, IndiaSRG/2019/002345, MTR/2021/000890
Science and Engineering Research Board

    Keywords

    • Bit error rate
    • Fox's H-function
    • ergodic rate
    • outage probability
    • reconfigurable intelligent surface
    • vehicular networks

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