Improving the Resource Allocation and Secrecy in Cognitive-NOMA Network

Abstract

The demand of real-time wireless communication is increasing drastically where users demand for better Quality of Service (QoS) for various applications. Recently, the cognitive radio network has gained attraction in the field of communication due to its efficient nature of spectrum sensing and sharing. However, the interference between primary and secondary user is a tedious task which can degrade the performance. In order to address this issue, a multiple-access schemes are introduced and Non-Orthogonal Multiple Access (NOMA) is considered as most promising technique for addressing dynamic resource allocation, channel state information and eavesdropping. In this paper, we have focused on downlink communication for Cognitive Radio (CR)-NOMA network for resource allocation and secrecy. The simulation result obtained ensures higher throughput compared to the existing techniques.