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RSMO: Rider Spider Monkey Optimization-based Artificial Noise precoding Technique for Physical Layer Security in 5G Networks

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WIRELESS PERSONAL COMMUNICATIONS 2024年第4期135卷 2355-2377页

作者： Sekhar, P. Chandra Murthy, T. S. N. JNTU Kakinada Kakinada 533003 Andhra Pradesh India Chaitanya Bharathi Inst Technol A Dept ECE Hyderabad Telangana India JNTU GV Coll Engn Dept ECE Vizianagaram 535003 Andhra Pradesh India

The concern about security in wireless communication is increased, as Fifth Generation (5G) wireless communication is entered into very field of life. In recent days, privacy, confidentiality maintenance, integrity, and information security and data security are essential concerns. Thus, in this paper, Rider Spider Monkey Optimization (Rider SMO) approach is developed for physical layer security (PLS) in 5G network. Traditionally, noise and interference are considered as catastrophic essentials in a wireless communication. Additionally, it has been exposed that identified interference is useful for signal prediction capability at receiving end. Moreover, the security rates of conventional sensible secrecy coding techniques are moderately low to assure security necessity of 5G communications. Therefore, concepts of Non-Orthogonal Multiple Access (NOMA) and massive Multiple-Input-Multiple-Output (mMIMO) and are incorporated for PLS of 5G wireless communication network through Artificial Noise (AN)-based precoding algorithm. The precoding method is modified based on the developed RSMO approach. Here, the developed RSMO method is devised by integrating Rider Optimization Algorithm (ROA) and Spider Monkey Optimization (SMO) approach. The developed RSMO technique obtained better performance with respect to power, secrecy rate, Bit Error Rate (BER) of 0.3561, 0.7629 and 0.0000502 Watts respectively.

关键词： an-based precoding Spider monkey optimization Rider optimization algorithm Physical layer security Bit error rate

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