Reference : Backscatter-Aided NOMA V2X Communication under Channel Estimation Errors

	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/51358

Title :	Backscatter-Aided NOMA V2X Communication under Channel Estimation Errors
Language :	English
Author, co-author :	Khan, Wali Ullah [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Jamshed, Muhammad Ali []
	Mahmood, Asad [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Lagunas, Eva [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	20-Jun-2022
Reviewed work :	Khan, Wali Ullah, et al. "Backscatter-aided NOMA V2X communication under channel estimation errors." IEEE Vehicular Technology Conference (VTC2022-Spring), Helsinki Finland, 2022.
Peer reviewed :	Yes
Audience :	International
Event name :	The 2022 IEEE 95th Vehicular Technology Conference: VTC2022-Spring
Event date :	19-06-2022 to 22-06-2022
Event organizer :	IEEE
Event place (city) :	Helsinki
Event country :	Finland
Keywords :	[en] Backscatter Communications ; Non-orthogonal Multiple Access ; Vehicle to Everything
Abstract :	[en] Backscatter communications (BC) has emerged as a promising technology for providing low-powered transmissions in nextG (i.e., beyond 5G) wireless networks. The fundamental idea of BC is the possibility of communications among wireless devices by using the existing ambient radio frequency signals. Non-orthogonal multiple access (NOMA) has recently attracted significant attention due to its high spectral efficiency and massive connectivity. This paper proposes a new optimization framework to minimize total transmit power of BC-NOMA cooperative vehicle-to-everything networks (V2XneT) while ensuring the quality of services. More specifically, the base station (BS) transmits a superimposed signal to its associated roadside units (RSUs) in the first time slot. Then the RSUs transmit the superimposed signal to their serving vehicles in the second time slot exploiting decode and forward protocol. A backscatter device (BD) in the coverage area of RSU also receives the superimposed signal and reflect it towards vehicles by modulating own information. Thus, the objective is to simultaneously optimize the transmit power of BS and RSUs along with reflection coefficient of BDs under perfect and imperfect channel state information. The problem of energy efficiency is formulated as non-convex and coupled on multiple optimization variables which makes it very complex and hard to solve. Therefore, we first transform and decouple the original problem into two sub-problems and then employ iterative sub-gradient method to obtain an efficient solution. Simulation results demonstrate that the proposed BC-NOMA V2XneT provides high energy efficiency than the conventional NOMA V2XneT without BC.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg
Funders :	FNR – Luxembourg National Research Fund – CORE Program
Name of the research project :	RISOTTI - Reconfigurable Intelligent Surfaces for Smart Cities
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/51358
DOI :	10.48550/arXiv.2202.01586
Other URL :	https://arxiv.org/abs/2202.01586
Mentions required by the publisher for OA :	The original publication is available on arXiv
Commentary :	Not available
FnR project :	FnR ; FNR14773976 > Bjorn Ottersten > RISOTTI > Reconfigurable Intelligent Surfaces For Smart Cities > 01/06/2021 > 31/05/2024 > 2020

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