Secrecy Capacity Maximization for IRS-Assisted High-Speed Train Communications

In this letter, we propose an IRS-assisted MIMO communication system model in the presence of an eavesdropper (Eve). A distance-dependent Rician factor and real-time Doppler frequency offset (DFO) compensation mechanism are utilized to characterize highly time-varying wireless channels. The secrecy...

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Vydáno v:IEEE communications letters Ročník 29; číslo 6; s. 1290 - 1294
Hlavní autoři: Li, Cuiran, Luan, Jiahui, Zhang, Zepeng, Ai, Bo, Wu, Hao, Xie, Jianli
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.06.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Array signal processing
Beamforming
Communication system security
Communications systems
Convexity
Doppler effect
High speed rail
high-speed rail (HSR) communications
Intelligent reflecting surface (IRS)
Iron
Long short term memory
MIMO communication
Optimization
Real time
Rician channels
secrecy capacity
Simulation
Transmitting antennas
Vectors
Wireless communication
ISSN:1089-7798, 1558-2558
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Abstract In this letter, we propose an IRS-assisted MIMO communication system model in the presence of an eavesdropper (Eve). A distance-dependent Rician factor and real-time Doppler frequency offset (DFO) compensation mechanism are utilized to characterize highly time-varying wireless channels. The secrecy capacity optimization problem is formulated by jointly optimizing the transmit beamforming, artificial noise (AN) matrix, and IRS phase shifts, subject to transmit power and unit modulus constraints. To solve the non-convex problem, it is transformed into convex optimization problem by using weighted minimum mean square error (WMMSE) algorithm, and an alternating optimization strategy with coupled variables is used to derive the optimal solution. Simulation results show that the optimization algorithm proposed in this letter converges quickly and achieves higher secrecy capacity.
AbstractList In this letter, we propose an IRS-assisted MIMO communication system model in the presence of an eavesdropper (Eve). A distance-dependent Rician factor and real-time Doppler frequency offset (DFO) compensation mechanism are utilized to characterize highly time-varying wireless channels. The secrecy capacity optimization problem is formulated by jointly optimizing the transmit beamforming, artificial noise (AN) matrix, and IRS phase shifts, subject to transmit power and unit modulus constraints. To solve the non-convex problem, it is transformed into convex optimization problem by using weighted minimum mean square error (WMMSE) algorithm, and an alternating optimization strategy with coupled variables is used to derive the optimal solution. Simulation results show that the optimization algorithm proposed in this letter converges quickly and achieves higher secrecy capacity.
Author Li, Cuiran
Luan, Jiahui
Xie, Jianli
Zhang, Zepeng
Wu, Hao
Ai, Bo
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Cites_doi 10.1109/TCOMM.2023.3308150
10.1109/TVT.2022.3218285
10.1109/LWC.2023.3256001
10.3390/app122211857
10.1109/LCOMM.2019.2957121
10.1109/JSAC.2020.3000802
10.1109/JSAC.2013.130906
10.1109/TIFS.2020.3038994
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SubjectTerms Algorithms
Array signal processing
Beamforming
Communication system security
Communications systems
Convexity
Doppler effect
High speed rail
high-speed rail (HSR) communications
Intelligent reflecting surface (IRS)
Iron
Long short term memory
MIMO communication
Optimization
Real time
Rician channels
secrecy capacity
Simulation
Transmitting antennas
Vectors
Wireless communication
Title Secrecy Capacity Maximization for IRS-Assisted High-Speed Train Communications
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