Sensing Performance Analysis Using Choatic Signal-Based SCMA Codebook for Secure Cognitive Communication System in 5G

Sparse Code Multiple Access (SCMA) is an eminent multiple access scheme for next 5G generation networks. It supports large data rate, massive user connectivity, lower latency, and better spectrum efficiency. In addition to this, the security has been grown as real concerns for the wireless communication system in 5G. The Chaos-based communication system has been introduced as a cost effective and secured system to mitigate the critical issues of physical layer security. This paper, proposed a secure logistic Chaos map-based SCMA system for cognitive radio networks. The proposed system supports the data overloading, large capacity with security to unauthorized user in the model. The performance is analyzed in terms of Bit Error Rate (BER) and detection probability with effective simulation work.