Robust outage-constrained secrecy rate of hybrid power line and wireless communication with artificial noise-aided beamforming for smart grid
Author Identifier
Shihao Yan: https://orcid.org/0000-0002-4586-1926
Document Type
Journal Article
Publication Title
IEEE Transactions on Communications
Publisher
IEEE
School
School of Science
RAS ID
77461
Funders
National Key Research and Development Program of China (2021ZD0112702) / National Natural Science Foundation of China (62173256)
Abstract
Power line communication is a critical component of smart grids, which are vulnerable to eavesdropping. To address this challenge, we investigate a cooperative relay hybrid power line and wireless communication system where multiple eavesdroppers are considered. We propose an elaborate artificial noise (AN)-aided beamforming (BF) scheme to improve physical layer security. Our scheme maximizes the outage-constrained secrecy rate (OCSR) of the legitimate link while restricting the capacity of the eavesdroppers to a reasonable region. However, due to the imperfect channel state information of the wiretap channel and secrecy outage probability constraint, the robust OCSR problem becomes intractable because of the non-concave secrecy objective function and the non-convex constraints. To solve this issue, we utilize semidefinite programming and Bernstein-type inequality to transform the robust OCSR nonconvex problem into two convex sub-problems, which a block-coordinated descent algorithm can solve. Simulation results showcase the effectiveness of our robust AN-aided secure BF scheme and show that the proposed scheme outperforms the benchmark scheme in a security performance gain under various channel conditions, even in the worst case.
DOI
10.1109/TCOMM.2024.3502678
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Comments
Kong, Z., Gan, L., Song, J., Huang, T., Yin, W., Yan, S., & Yuan, J. (2024). Robust outage-constrained secrecy rate of hybrid power line and wireless communication with artificial noise-aided beamforming for smart grid. IEEE Transactions on Communications. Advance online publication. https://doi.org/10.1109/TCOMM.2024.3502678