2017/03/01 by Van‐Dinh Nguyen, Trung Q. Duong, Nguyen, Van-Dinh +7
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cognitive Radio Networks and Spectrum Sensing #FOS: Computer and information sciences #Information Theory (cs.IT) #Wireless Communication Security Techniques
paper · pdf · doi:10.48550/arxiv.1703.00147
openalex publication_date 2017/03/01 · openalex created_date 2022/09/19 · openalex updated_date 2026/08/01
In this paper, we propose a cooperative approach to improve the security of\nboth primary and secondary systems in cognitive radio multicast communications.\nDuring their access to the frequency spectrum licensed to the primary users,\nthe secondary unlicensed users assist the primary system in fortifying security\nby sending a jamming noise to the eavesdroppers, while simultaneously protect\nthemselves from eavesdropping. The main objective of this work is to maximize\nthe secrecy rate of the secondary system, while adhering to all individual\nprimary users' secrecy rate constraints. In the case of passive eavesdroppers\nand imperfect channel state information knowledge at the transceivers, the\nutility function of interest is nonconcave and involved constraints are\nnonconvex, and thus, the optimal solutions are troublesome. To address this\nproblem, we propose an iterative algorithm to arrive at a local optimum of the\nconsidered problem. The proposed iterative algorithm is guaranteed to achieve a\nKarush-Kuhn-Tucker solution.\n