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

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 5...

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Vydáno v:SN computer science Ročník 5; číslo 4; s. 384
Hlavní autoři: Shekhawat, Guman Kanwar, Yadav, R. P.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Singapore Springer Nature Singapore 01.04.2024
Springer Nature B.V
Témata:
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
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Popis
Shrnutí: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.
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ISSN:2661-8907
2662-995X
2661-8907
DOI:10.1007/s42979-024-02699-3