Title :
Robust Secure Transmit Design in MIMO Channels with Simultaneous Wireless Information and Power Transfer
Author :
Shaohang Wang ; Baoyun Wang
Author_Institution :
Coll. of Commun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
In this letter, we consider a multiple-input-multiple-output (MIMO) downlink system with simultaneous wireless information and power transfer (SWIPT), where the information sent to the desired receiver (DR) may be wiretapped by the malicious energy harvesting (EH) receivers (potential eavesdroppers). Assuming the channel state information (CSI) of the EH receivers is not perfectly known at the transmitter, we aim to maximize the worst-case secrecy rate by jointly designing the precoding matrix, AN covariance matrix and power splsplitting ratio, under the constraints of total transmit power and harvested energyitting ratio, under the constraints of total transmit power and harvested energy at receivers. The formulated problem is non-convex and semi-infinite, which is hard to tackle. To solve it, we first deal with the non-convexity caused by CSI errors with the aid of the S-Procedure, and then employ the Taylor series approximation techniques to transfer the nonconvex problem into a convex optimization problem. Based on that, we propose an iterative algorithm with proved convergence to solve the original problem. Simulation results are finconvex optimization problem. Based on that, we propose an iterative algorithmally provided to show the effectiveness of our proposed robust transmit design.
Keywords :
MIMO communication; approximation theory; concave programming; covariance matrices; energy harvesting; iterative methods; precoding; radio receivers; radiofrequency power transmission; series (mathematics); telecommunication security; wireless channels; AN covariance matrix; CSI errors; EH receiver; MIMO channel; S-procedure; SWIPT; Taylor series approximation techniques; channel state information; desired receiver; energy harvesting; iterative algorithm; multiple input multiple output; nonconvex problem; power splitting ratio; precoding matrix; robust secure transmit design; semi-infinite programming; simultaneous wireless information and power transfer; worst case secrecy rate maximization; Communication system security; Covariance matrices; Energy harvesting; Receivers; Robustness; Transmitters; Wireless communication; Energy harvesting; MIMO channels; physical layer security; power splitting; simultaneous wireless information and power transfer (SWIPT);
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2015.2464791