A Survey on the Performance Analysis of NOMA-Assisted Cognitive Radio Sensor Networks

Abstract

Abstract The wireless communication system has been facing a technological revolution due to the shift through various generations. To fulfil the 5G and beyond 5G (B5G) networks, we need to improve the spectral efficiency under certain limitations with enhanced security and reliability compared to the currently deployed systems. According to the massive transmission demand of wireless devices, we need to consider spectral efficiency, less energy consumption, and security for future wireless communication networks. Taking into account the aforementioned research gap, concerning the comparison of spectral efficiency and energy efficiency, this paper addresses the challenge that lies in enhancing resource allocation and identifying future research avenues for next-generation wireless communication networks. In this study, we investigate Non-Orthogonal Multiple Access (NOMA)-assisted Cognitive Radio Sensor Networks (CRSN), an adaptive intelligent radio that can automatically detect the channels in the wireless spectrum and change transmission parameters enabling more communication for better spectrum utilization without causing any interference to the licensed user. A Cognitive radio NOMA extensively improves network capacity by utilising the same frequency bandwidth distinguished by power allocation. This paper analyses the study of existing survey papers by comparing the performance metrics of NOMA with other techniques, the role of NOMA in 5G and B5G networks, NOMA’s network and its architecture and performance indicators.