Interference management with reflective in-band full-duplex NOMA for secure 6G wireless communication systems

Khan, Rabia, Tsiga, Nyasha and Asif, Rameez (2022) Interference management with reflective in-band full-duplex NOMA for secure 6G wireless communication systems. Sensors, 22 (7). ISSN 1424-8220

[thumbnail of sensors-22-02508]
PDF (sensors-22-02508) - Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview


The electromagnetic spectrum is used as a medium for modern wireless communication. Most of the spectrum is being utilized by the existing communication system. For technological breakthroughs and fulfilling the demands of better utilization of such natural resources, a novel Reflective In-Band Full-Duplex (R-IBFD) cooperative communication scheme is proposed in this article that involves Full-Duplex (FD) and Non-Orthogonal Multiple Access (NOMA) technologies. The proposed R-IBFD provides efficient use of spectrum with better system parameters including Secrecy Outage Probability (SOP), throughput, data rate and secrecy capacity to fulfil the requirements of a smart city for 6th Generation (6thG or 6G). The proposed system targets the requirement of new algorithms that contribute towards better change and bring the technological revolution in the requirements of 6G. In this article, the proposed R-IBFD mainly contributes towards co-channel interference and security problem. The In-Band Full-Duplex mode devices face higher co-channel interference in between their own transmission and receiving antenna. R-IBFD minimizes the effect of such interference and assists in the security of a required wireless communication system. For a better understanding of the system contribution, the improvement of secrecy capacity and interference with R-IBFD is discussed with the help of SOP derivation, equations and simulation results. A machine learning genetic algorithm is one of the optimization tools which is being used to maximize the secrecy capacity.

Item Type: Article
Uncontrolled Keywords: sdg 11 - sustainable cities and communities,4* ,/dk/atira/pure/sustainabledevelopmentgoals/sustainable_cities_and_communities
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Smart Emerging Technologies
Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory
Depositing User: LivePure Connector
Date Deposited: 24 May 2022 14:58
Last Modified: 25 May 2023 18:31
DOI: 10.3390/s22072508


Downloads per month over past year

Actions (login required)

View Item View Item