Efficient Data Sensing Algorithm with Generalized Cascaded Chaotic Maps for Secure Cognitive Radio in 5G Networks

• Published in: SN computer science Vol. 5; no. 4; p. 384
• Main Authors: Shekhawat, Guman Kanwar, Yadav, R. P.
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.04.2024; Springer Nature B.V
• Subjects: 5G mobile communication; Algorithms; Bit error rate; Chaos theory; Chebyshev approximation; Code Division Multiple Access; Cognitive radio; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Data Structures and Information Theory; Data transmission; Efficiency; Emerging Applications of Data Science for Real-World Problems; Information Systems and Communication Service; Initial conditions; Internet of Things; Literature reviews; Original Research; Pattern Recognition and Graphics; Performance evaluation; Receivers & amplifiers; Sensors; Signal transmission; Software Engineering/Programming and Operating Systems; Spread spectrum; Systems analysis; Vision; Wireless communications; Wireless networks; Spectrum sensing; Cascaded chaotic signal (CCS); Cognitive radio; Sparse code multiple access (SCMA); Chaotic maps
• ISSN: 2661-8907; 2662-995X; 2661-8907
• DOI: 10.1007/s42979-024-02699-3

Sparse code multiple access (SCMA) has emerged as a significant technology to satisfy the essential criteria for 5G wireless networks, including high data rates, widespread connection, reliability, and greater spectrum efficiency. Under the restriction of scarce and limited spectrum utilization in 5G networks, the integrated cognitive radio (CR) with SCMA is a promising solution to handle these crucial needs. A reliable and secure connection network should be built in addition to this integrated network to deal with densely deployed networks. A secure transmission sensing approach for CR-SCMA systems employing chaos theory has been presented in the paper. Different chaotic maps, including the logistic map, tent map, Chebyshev map, sine map, and the generalized cascaded chaotic map (CCS), have been employed for sensing with secure communication. Bit error rate (BER) and probability of detection with effective simulation are two of the metrics used for performance evaluation. Instead of using random sequences, the chaos-based signal transmission provides a viable solution for 5G generation networks with a secure wireless communication link. Using chaotic map signals, which are extremely sensitive to their initial conditions and have non-periodic properties, the eavesdropper or the unauthorized user cannot simply grab the encrypted and secured vital data.