Joint optimization for secure ambient backscatter communication in NOMA-enabled IoT networks

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openAccess
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2023-02
Major/Subject
Mcode
Degree programme
Language
en
Pages
6
264-269
Series
Digital Communications and Networks, Volume 9, issue 1
Abstract
Non-Orthogonal Multiple Access (NOMA) has emerged as a novel air interface technology for massive connectivity in sixth-generation (6G) era. The recent integration of NOMA in Backscatter Communication (BC) has triggered significant research interest due to its applications in low-powered Internet of Things (IoT) networks. However, the link security aspect of these networks has not been well investigated. This article provides a new optimization framework for improving the physical layer security of the NOMA ambient BC system. Our system model takes into account the simultaneous operation of NOMA IoT users and the Backscatter Node (BN) in the presence of multiple EavesDroppers (EDs). The EDs in the surrounding area can overhear the communication of Base Station (BS) and BN due to the wireless broadcast transmission. Thus, the chief aim is to enhance link security by optimizing the BN reflection coefficient and BS transmit power. To gauge the performance of the proposed scheme, we also present the suboptimal NOMA and conventional orthogonal multiple access as benchmark schemes. Monte Carlo simulation results demonstrate the superiority of the NOMA BC scheme over the pure NOMA scheme without the BC and conventional orthogonal multiple access schemes in terms of system secrecy rate.
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Keywords
6G, Ambient backscatter communication, Internet-of-things, Joint optimization, Non-orthogonal multiple access, Physical layer security
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Citation
Khan , W U , Jameel , F , Ihsan , A , Waqar , O & Ahmed , M 2023 , ' Joint optimization for secure ambient backscatter communication in NOMA-enabled IoT networks ' , Digital Communications and Networks , vol. 9 , no. 1 , pp. 264-269 . https://doi.org/10.1016/j.dcan.2022.03.017