Reference : NOMA-Enabled Backscatter Communications for Green Transportation in Automotive-Indust...
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/54092
NOMA-Enabled Backscatter Communications for Green Transportation in Automotive-Industry 5.0
English
[en] NOMA-Enabled Backscatter Communications for Green Transportation in Automotive-Industry 5.0
Khan, Wali Ullah mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Ihsan, Asim mailto []
Nguyen, Tu N. mailto []
Ali, Zain mailto []
Awais Javed, Muhammad mailto []
22-Mar-2022
IEEE Transactions on Industrial Informatics
Institute of Electrical and Electronics Engineers
Yes
International
1551-3203
United States
[en] Backscatter Communications ; Non-orthogonal Multiple Access ; Automotive industry 5.0
[en] Automotive-Industry 5.0 will use emerging 6G communications to provide robust, computationally intelligent, and energy-efficient data sharing among various onboard sensors, vehicles, and other intelligent transportation system entities. Nonorthogonal multiple access (NOMA) and backscatter communications are two key techniques of 6G communications for enhanced spectrum and energy efficiency. In this article, we provide an introduction to green transportation and also discuss the advantages of using backscatter communications and NOMA in Automotive Industry 5.0. We also briefly review the recent work in the area of NOMA empowered backscatter communications. We discuss different use cases of backscatter communications in NOMA-enabled 6G vehicular networks. We also propose a multicell optimization framework to maximize the energy efficiency of the backscatter-enabled NOMA vehicular network. In particular, we jointly optimize the transmit power of the roadside unit and the reflection coefficient of the backscatter device in each cell, where several practical constraints are also taken into account. The problem of energy efficiency is formulated as nonconvex, which is hard to solve directly. Thus, first, we adopt the Dinkelbach method to transform the objective function into a subtractive one, then we decouple the problem into two subproblems. Second, we employ dual theory and KKT conditions to obtain efficient solutions. Finally, we highlight some open issues and future research opportunities related to NOMA-enabled backscatter communications in 6G vehicular networks.
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/10993/54092
10.1109/TII.2022.3161029
https://ieeexplore-ieee-org.proxy.bnl.lu/document/9739970

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