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

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Abstract

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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Data Availability

The research is experimentally set up and the operation is performed on Matlab R2020a software. All the data and simulation code will be available as per the reasonable request of human researchers.

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Acknowledgements

The article is an extended version of our previous conference paper presented in Ref. [17].

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  1. Guman Kanwar Shekhawat and R. P. Yadav contributed equally to this work.

Authors and Affiliations

  1. Department of ECE, Malaviya National Institute of Technology, JLN Marg, Jaipur, Rajasthan, 302017, India

    Guman Kanwar Shekhawat & R. P. Yadav

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  1. Guman Kanwar Shekhawat
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Correspondence to Guman Kanwar Shekhawat.

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This article is part of the topical collection “Emerging Applications of Data Science for Real-World Problems” guest edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav and Mukesh Saraswat.

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Shekhawat, G.K., Yadav, R.P. Efficient Data Sensing Algorithm with Generalized Cascaded Chaotic Maps for Secure Cognitive Radio in 5G Networks. SN COMPUT. SCI. 5, 384 (2024). https://doi.org/10.1007/s42979-024-02699-3

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