Robust Secure Wireless Powered MISO Cognitive Mobile Edge Computing

• Published in: IEEE access Vol. 8; pp. 62356 - 62366
• Main Authors: Liu, Boyang, Song, Jiajia, Wang, Jin, Sun, Haijian, Wang, Qun
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Beamforming; Central processing units; Cognitive radio; Communication system security; CPUs; Edge computing; MISO (control systems); MISO communication; Mobile computing; Mobile edge computing; Optimization; physical-layer security; Probabilistic logic; Robustness; Task analysis; Uncertainty; underlay spectrum sharing; Wireless communication; wireless power transfer; Wireless power transmission
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.2984520

Wireless power transfer (WPT) and cognitive radio (CR) are two promising techniques in designing mobile-edge computing (MEC) systems. In this paper, we study a robust secure wireless powered multiple-input single-output (MISO) cognitive MEC system, which integrates several techniques: physical-layer security, WPT, CR, underlay spectrum sharing and MEC. Three optimization problems are formulated to minimize the total transmission power (TTP) of the primary transmitter (PT) and the secondary base station (SBS) under perfect channel state information (CSI) model, bounded CSI error model and the probabilistic CSI error model, respectively. The formulated problems are nonconvex and hard to solve. Three two-phase iterative optimization algorithms combined with Lagrangian dual, semidefinite relaxation (SDR), S-Procedure and Bernstein-type inequalities are proposed to jointly optimize the beamforming vectors of the PT and the SBS, the central processing unit (CPU) frequency and the transmit power of the MD. Simulation results are provided to verify the effectiveness of the proposed algorithms.