Joint Beamforming for Secure Communication in Cognitive Satellite Terrestrial Networks

• Published in: IEEE journal on selected areas in communications Vol. 36; no. 5; pp. 1017 - 1029
• Main Authors: Lin, Min, Lin, Zhi, Zhu, Wei-Ping, Wang, Jun-Bo
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Beamforming; Broadband antennas; Broadband communication; cognitive satellite terrestrial network; Computer simulation; Computing time; Interference; Iterative methods; millimeter wave; Millimeter waves; Multibeam antennas; Optimization; Penalty function; physical layer security; Resource allocation; Satellite broadcasting; Satellites; User requirements; Vectors (mathematics); Wireless communication
• ISSN: 0733-8716; 1558-0008
• DOI: 10.1109/JSAC.2018.2832819

This paper investigates the secure communication of a cognitive satellite terrestrial network with software-defined architecture, where a gateway is acting as a control center to offer the resource allocation for the wireless systems. Specifically, we propose beamforming (BF) schemes to utilize the interference from the terrestrial network as a green source to enhance the physical-layer security for the satellite network, provided that the two networks share the portion of millimeter-wave frequencies. Supposing that the satellite employs multibeam antenna while the base station is equipped with a uniform planar array, we first formulate a constrained joint optimization problem to minimize the total transmit power while satisfying both the quality-of-service requirement of the terrestrial user and the secrecy rate (SR) requirements of the satellite users. Since the formulated optimization problem is nonconvex and mathematically intractable, we then propose two BF schemes to obtain the optimal solutions with high computational efficiency. For the case of one eavesdropper (Eve), we present a method to convert the nonconvex SR constraint to a second-order cone one and then adopt a penalty function approach to obtain the BF weight vectors. In the case of multiple Eves, by introducing a list of auxiliary variables, we propose a two-layer iterative BF scheme using penalty function approach together with gradient-based method to calculate the BF weight vectors. Finally, simulation results are given to demonstrate the effectiveness and superiority of the proposed BF schemes.