Energy Efficiency Maximization with Optimal Beamforming in Secure MISO CRNs with SWIPT. (25th November 2021)

• Record Type: Journal Article
• Authors: Xue, Liang; Ma, Yao; Zhang, Miao; Qin, Wanqiang; Wang, Jin-Long; Wu, Yazhou
• Other Names: Sorbello Gino Academic Editor.
• Is Part Of: International journal of antennas and propagation. Volume 2021(2021)
• Publication Date: 2021-11-25
• Subjects: Electronic apparatus and appliances -- Periodicals; Antennas (Electronics) -- Periodicals; Radio wave propagation -- Periodicals; Antennes (Électronique); Ondes radioélectriques -- Propagation; Antennas (Electronics); Electronic apparatus and appliances; Radio wave propagation; Electronic journals; Periodicals; 621.382405
• DOI: 10.1155/2021/6378715
• Languages: English
• ISSNs: 1687-5869

Abstract

Abstract : In this paper, the optimal beamforming problem of multi-input single-output (MISO) cognitive radio (CR) downlink networks with simultaneous wireless information and power transfer is studied. Due to the nonconvexity of the objective function, the considered nonconvex optimization problem is firstly transformed to an equivalent subtraction problem and then an approximated convex optimization problem is obtained by using the successive convex approximation (SCA). When the instantaneous channel state information (CSI) of the eavesdropping link is unknown to the legitimate transmitter, another interruption-constrained energy efficiency optimization problem is proposed and the Bernstein-type inequality (BTI) is used to conservatively approximate the probability constraint. The paper proposes a two-level iterative algorithm based on Dinkelbach to find the optimal solution of the EE maximization problem. Numerical results validate the effectiveness and convergence of the proposed algorithm.