Probabilistic accumulate-then-transmit in wireless-powered covert communications
Document Type
Journal Article
Publication Title
IEEE Transactions on Wireless Communications
Publisher
IEEE
School
School of Science / ECU Security Research Institute
RAS ID
52188
Funders
National Key Research and Development Project under Grant 2018YFB1801104
National Natural Science Foundation of China under Grants: 61922071, 6207148
Australian Research Council’s Discovery Project
Grant Number
ARC Number : DP210102169
Abstract
In this paper, we investigate the optimal design of a wireless-powered covert communication (WP-CC) system, where a full-duplex (FD) receiver transmits artificial noise (AN) to simultaneously charge an energy-constrained transmitter and to confuse a warden’s detection on the transmitter’s communication activity. In order to achieve a higher level of covertness, we propose a probabilistic accumulate-then-transmit (ATT) protocol, where the transmitter is able to adjust the prior probability conditioned on the available energy being sufficient, i.e., p, rather than setting p = 1 as in the traditional ATT protocol to maximize the system throughput. Then, we derive the warden’s minimum detection error probability and characterize the effective covert rate from the transmitter to the receiver to quantify the communication covertness and quality, respectively. The derived analytical results facilitate the joint optimization of the probability p and the information transmit power to maximize the communication covertness subject to a quality-of-service (QoS) requirement on communication. We further present the optimal design of a cable-powered covert communication (CP-CC) system as a benchmark for comparison. Our simulation shows that the proposed probabilistic ATT protocol (with a varying p) can achieve the covertness upper bound determined by the CP-CC system, while the traditional ATT protocol (with p = 1) cannot, which confirms the benefits brought by the proposed probabilistic ATT protocol in covert communications.
DOI
10.1109/TWC.2022.3183892
Access Rights
subscription content
Comments
Wang, Y., Yan, S., Yang, W., Zhong, C., & Ng, D. W. K. (2022). Probabilistic accumulate-then-transmit in wireless-powered covert communications. IEEE Transactions on Wireless Communications, 21(12), 10393-10406.
https://doi.org/10.1109/TWC.2022.3183892