Reflective in-band full duplex NOMA communications for secure 5G networks

Khan, Rabia and Asif, Rameez (2021) Reflective in-band full duplex NOMA communications for secure 5G networks. In: 2021 International Conference on Smart Applications, Communications and Networking, SmartNets 2021. 2021 International Conference on Smart Applications, Communications and Networking, SmartNets 2021 . Institute of Electrical and Electronics Engineers Inc., GBR. ISBN 9781665435451

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Abstract

In the context of Internet-of-Things (IoT), big Data analytic and the interconnected world, the scientific revolution is increasing the demand for an improved spectrum utilization. An efficient use of the existing spectrum is required for high data-rate transmission. There are several potential ways of solving the challenges of spectrum scarcity. In-Band Full Duplex (IBFD) and Non-Orthogonal Multiple Access (NOMA) are two techniques that can improve the spectral efficiency (SE) in a 5G and Beyond (5GB) cellular networks. This paper proposes a spectral efficient IBFD scheme, Reflective In-Band Full-Duplex (R-IBFD) algorithm for relay selection to improve security of the system with minimum interference. The interference is basically reduced by the addition of orthogonality between the transmitted and received signal in the IBFD mode. The proposed R-IBFD is evaluated with IBFD, Device-to-Device (D2D) and Artificial Noise (AN). Secrecy Outage Probability (SOP) and throughput is analysed for R-IBFD. The simulation results present the comparison between the R-IBFD and conventional decode-and-forward IBFD communication with one or more users operated as a relay.

Item Type: Book Section
Additional Information: Funding Information: This research work is funded by the University of Strathclyde in Glasgow, UK under the ’Knowledge Exchange Fellowship’ program. Publisher Copyright: © 2021 IEEE.
Uncontrolled Keywords: artificial noise,decode-and-forward,full duplex,in-band full duplex,reflective in-band full duplex,secrecy capacity,secrecy outage probability,security and secrecy outage probability,artificial intelligence,computer networks and communications,computer science applications,signal processing ,/dk/atira/pure/subjectarea/asjc/1700/1702
Faculty \ School: Faculty of Science > School of Computing Sciences
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Depositing User: LivePure Connector
Date Deposited: 23 Aug 2022 13:30
Last Modified: 24 Sep 2022 08:32
URI: https://ueaeprints.uea.ac.uk/id/eprint/87564
DOI: 10.1109/SmartNets50376.2021.9555418

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