Performance analysis of RSMA-based cognitive networks with random distribution of eavesdroppers

Abstract Due to the pace of various emerging wireless communication technologies and new application services innovation, network information security, and capacity requirements have become a hot issue of concern. In order to improve network security performance and transmission capacity, researchers have proposed cognitive wireless network and physical layer security as potential solution. Most of the current research work focuses on the assumption that the location of the eavesdropping node is fixed. Starting from the physical layer security and based on the random geometry theory, this paper studies the security performance of cognitive wireless networks under the scenario of random distribution of eavesdropping nodes based on rate splitting multiple access, proposes a system model, and deduces the closed form solutions of connection interruption probability and security interruption probability of secondary users in the cognitive wireless network. The results show that the security interruption probability is related to the density and security of eavesdropping nodes. Finally, the correctness of the formulas is verified by simulation analysis.