Multi-objective robust secure beamforming for cognitive satellite and UAV networks

• 作者: WANG Zining LIN Min TANG Xiaogang GUO Kefeng HUANG Shuo CHENG Ming
• 来源期刊: 系统工程与电子技术（英文版）
• 年，卷（期）: 2021,（4）
• 所属期刊栏目: SENSOR ARRAY SIGNAL PROCESSING AND ITS APPLICATIONS IN 5G/6G
• 页码范围: 789-798
• 页数: 10页
• 语种: 英文
• DOI: 10.23919/JSEE.2021.000068

摘要

A multi-objective optimization based robust beam-forming (BF) scheme is proposed to realize secure transmission in a cognitive satellite and unmanned aerial vehicle (UAV) net-work. Since the satellite network coexists with the UAV network, we first consider both achievable secrecy rate maximization and total transmit power minimization, and formulate a multi-object-ive optimization problem (MOOP) using the weighted Tchebycheff approach. Then, by supposing that only imperfect channel state information based on the angular information is available, we propose a method combining angular discretiza-tion with Taylor approximation to transform the non-convex ob-jective function and constraints to the convex ones. Next, we adopt semi-definite programming together with randomization technology to solve the original MOOP and obtain the BF weight vector. Finally, simulation results illustrate that the Pareto opti-mal trade-off can be achieved, and the superiority of our pro-posed scheme is confirmed by comparing with the existing BF schemes.