Secrecy Capacity Enhancement in Active IRS-Assisted UAV Communication System

As a new technology for reconstructing communication environments, intelligent reflecting surfaces (IRSs) can be applied to UAV communication systems. However, some challenges exist in IRS-assisted UAV communication system design, such as physical layer security issues, IRS design, and power consump...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 23; číslo 9; s. 4377
Hlavní autoři:	Miao, Jiansong, Li, Tongjie, Bai, Shanling, Yan, Shi, Zhao, Yan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 28.04.2023 MDPI
Témata:	Algorithms Communications systems convex optimization algorithm Drone aircraft Energy consumption Energy efficiency Green buildings Innovations intelligent reflecting surface Investigations Optimization Power amplifiers secrecy capacity maximization Tax administration and procedure Taxation Technology application unmanned aerial vehicle communication Unmanned aerial vehicles Urban areas Wireless communications unmanned aerial vehicle communication intelligent reflecting surface convex optimization algorithm secrecy capacity maximization
ISSN:	1424-8220, 1424-8220
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Abstract	As a new technology for reconstructing communication environments, intelligent reflecting surfaces (IRSs) can be applied to UAV communication systems. However, some challenges exist in IRS-assisted UAV communication system design, such as physical layer security issues, IRS design, and power consumption issues owing to the limitation of the hardware. Therefore, a secrecy capacity optimization scheme for an active IRS-assisted unmanned aerial vehicle (UAV) communication system is proposed to solve multi-user security issues. In particular, controllable power amplifiers are integrated into reflecting units to solve the problem of blocked links, and the UAV can dynamically select the served user according to the channel quality. In order to maximize the system average achievable secrecy capacity and ensure the power constraints of the UAV and active IRS, user scheduling, UAV trajectory, beamforming vector, and reflection matrix are jointly optimized, and the block coordinate descent (BCD) algorithm is applied to solve this non-convex problem. Simulation results show that the active IRS-assisted UAV communication scheme can significantly weaken the “multiplicative fading” effect and enhance the system secrecy capacity by 55.4% and 11.9% compared with the schemes with passive IRS and without optimal trajectory, respectively.
AbstractList	As a new technology for reconstructing communication environments, intelligent reflecting surfaces (IRSs) can be applied to UAV communication systems. However, some challenges exist in IRS-assisted UAV communication system design, such as physical layer security issues, IRS design, and power consumption issues owing to the limitation of the hardware. Therefore, a secrecy capacity optimization scheme for an active IRS-assisted unmanned aerial vehicle (UAV) communication system is proposed to solve multi-user security issues. In particular, controllable power amplifiers are integrated into reflecting units to solve the problem of blocked links, and the UAV can dynamically select the served user according to the channel quality. In order to maximize the system average achievable secrecy capacity and ensure the power constraints of the UAV and active IRS, user scheduling, UAV trajectory, beamforming vector, and reflection matrix are jointly optimized, and the block coordinate descent (BCD) algorithm is applied to solve this non-convex problem. Simulation results show that the active IRS-assisted UAV communication scheme can significantly weaken the “multiplicative fading” effect and enhance the system secrecy capacity by 55.4% and 11.9% compared with the schemes with passive IRS and without optimal trajectory, respectively. As a new technology for reconstructing communication environments, intelligent reflecting surfaces (IRSs) can be applied to UAV communication systems. However, some challenges exist in IRS-assisted UAV communication system design, such as physical layer security issues, IRS design, and power consumption issues owing to the limitation of the hardware. Therefore, a secrecy capacity optimization scheme for an active IRS-assisted unmanned aerial vehicle (UAV) communication system is proposed to solve multi-user security issues. In particular, controllable power amplifiers are integrated into reflecting units to solve the problem of blocked links, and the UAV can dynamically select the served user according to the channel quality. In order to maximize the system average achievable secrecy capacity and ensure the power constraints of the UAV and active IRS, user scheduling, UAV trajectory, beamforming vector, and reflection matrix are jointly optimized, and the block coordinate descent (BCD) algorithm is applied to solve this non-convex problem. Simulation results show that the active IRS-assisted UAV communication scheme can significantly weaken the "multiplicative fading" effect and enhance the system secrecy capacity by 55.4% and 11.9% compared with the schemes with passive IRS and without optimal trajectory, respectively.As a new technology for reconstructing communication environments, intelligent reflecting surfaces (IRSs) can be applied to UAV communication systems. However, some challenges exist in IRS-assisted UAV communication system design, such as physical layer security issues, IRS design, and power consumption issues owing to the limitation of the hardware. Therefore, a secrecy capacity optimization scheme for an active IRS-assisted unmanned aerial vehicle (UAV) communication system is proposed to solve multi-user security issues. In particular, controllable power amplifiers are integrated into reflecting units to solve the problem of blocked links, and the UAV can dynamically select the served user according to the channel quality. In order to maximize the system average achievable secrecy capacity and ensure the power constraints of the UAV and active IRS, user scheduling, UAV trajectory, beamforming vector, and reflection matrix are jointly optimized, and the block coordinate descent (BCD) algorithm is applied to solve this non-convex problem. Simulation results show that the active IRS-assisted UAV communication scheme can significantly weaken the "multiplicative fading" effect and enhance the system secrecy capacity by 55.4% and 11.9% compared with the schemes with passive IRS and without optimal trajectory, respectively.
Audience	Academic
Author	Li, Tongjie Bai, Shanling Zhao, Yan Miao, Jiansong Yan, Shi
AuthorAffiliation	1 School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China 2 Beijing Laboratory of Advanced Information Network, Beijing University of Posts and Telecommunications, Beijing 100876, China
AuthorAffiliation_xml	– name: 2 Beijing Laboratory of Advanced Information Network, Beijing University of Posts and Telecommunications, Beijing 100876, China – name: 1 School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
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BackLink	https://www.ncbi.nlm.nih.gov/pubmed/37177577$$D View this record in MEDLINE/PubMed
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SubjectTerms	Algorithms Communications systems convex optimization algorithm Drone aircraft Energy consumption Energy efficiency Green buildings Innovations intelligent reflecting surface Investigations Optimization Power amplifiers secrecy capacity maximization Tax administration and procedure Taxation Technology application unmanned aerial vehicle communication Unmanned aerial vehicles Urban areas Wireless communications
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Title	Secrecy Capacity Enhancement in Active IRS-Assisted UAV Communication System
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