Probabilistically Robust SWIPT for Secrecy MISOME Systems

Abstract

This paper considers simultaneous wireless information and power transfer (SWIPT) in a multiple-input single-output (MISO) downlink system consisting of one multi-antenna transmitter, one single-antenna information receiver (IR), multiple multi-antenna eavesdroppers (Eves) and multiple single-antenna energy-harvesting receivers (ERs). The main objective is to keep the probability of the legitimate user's achievable secrecy rate outage as well as the ERs' harvested energy outage caused by channel state information (CSI) uncertainties below some prescribed thresholds. As is well known, the secrecy rate outage constraints present a significant analytical and computational challenge. Incorporating the energy harvesting (EH) outage constraints only intensifies that challenge. In this paper, we address this challenging issue using convex restriction approaches which are then proved to yield rank-one optimal beamforming solutions. Numerical results reveal the effectiveness of the proposed schemes.Comment: This is an open access article accepted for publication as a regular paper in the IEEE Transactions on Information Forensics & Security. Copyright (c) 2016 IEEE. Personal use of this material is permitted. However, permission to use this material for any other purposes must be obtained from the IEEE by sending a request to pubs-permissions@ieee.or

Robust Chance-Constrained Secure Transmission for Cognitive Satellite–Terrestrial Networks

“…However, the CSI of satellite terminals may not be available at the SAT due to the large distance, we will consider this case in our future work. In this setup, we adopt a stochastic model [30], [37] to characterize the CSI imperfection, thus the channel vectors can be modeled, respectively, as g p =ĝ p + ∆g p , g e =ĝ e + ∆g e , g s =ĝ s + ∆g s , (14) whereĝ p ,ĝ e andĝ s denote the imperfect channel estimate vectors, which are known to the terrestrial BS. And ∆g p , ∆g e and ∆g s denote the corresponding channel errors/uncertainties, which tend to be Gaussian random variables with zero-mean and covariance regarding ∆g p ∼ CN (0, Ω p ), ∆g e ∼ CN (0, Ω e ), ∆g s ∼ CN (0, Ω s ), where Ω p ≽ 0, Ω e ≽ 0, and Ω s ≽ 0 stand for the covariance matrices corresponding channel estimation errors.…”

Asymptotic Bound of Secrecy Capacity for MIMOME‐Based Transceivers: A Suboptimally Tractable Solution for Imperfect CSI

“…The mapping decomposition {xx } → Q cited above fundamentally requires the constraint rank(Q) = 1 [28][29][30][31]. Inversely, Q being rank-1 unfavourably causes nonconvexity [29][30][31].…”

“…Inversely, Q being rank-1 unfavourably causes nonconvexity [29][30][31]. Of course under some circumstances, the aforementioned constraint holds and it can be alternatively dropped (e.g., in [32] in which nearly 99.79% rank-1 results in the simulations were witnessed).…”

Secure Beamforming in Full-Duplex SWIPT Systems with Loopback Self-Interference Cancellation

“…On the other hand, secure resource allocation in the SWIPT systems was investigated in [8], [9], [20]- [25]. To guarantee system security, different performance metrics, such as secrecy capacity [8], [9], [21], [24] and transmission power [20], [25], are optimized. In SWIPT with a single legitimate UE, the authors in [9] and [21] investigated secrecy-capacity maximization for multiple single-antenna eavesdroppers and one single multiple-antenna eavesdropper, respectively.…”