Performance Analysis of Cellular Internet of Things Using Cognitive Radio

Cognitive radio is a promising technique for cellular Internet of Things including 4G/5G in next generation wireless systems. The challenges of the next generation wireless networks include reducing the overall latency of the cellular networks and enhancing the spectral efficiency without compromising reliability and computational complexity. The feasible solution is the existence of networks operating over different frequency bands. However, the major challenges are data bandwidth support and spectrum availability. Cognitive radio networks are the best option available to meet all these challenges for cellular IoT and 5G beyond networks. The main objective of cognitive radio is to sense the spectrum for empty slots. In this chapter, an algorithm based on spectrum sensing is presented. The algorithm senses the spectrum using multiple sequences of primary and secondary users and empty slots are filled. Cognitive radio technology is implemented for enhancing the detection probability of the target. Thus, overall spectral efficiency increases.