Physical Layer Security Communications and Path Planning For UAV Base Stations

Unmanned aerial vehicles (UAVs) have been recognized as the possible revolution in the fifth-generation (5G) wireless networks. In this work, we consider a scenario where a UAV base station (UAVBS) communicates with legitimate user equipments (UEs) in the presence of eavesdroppers (EDs). Specificall...

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Published in:Wireless and Optical Communication Conference pp. 1 - 6
Main Authors: Niu, Guanchong, Cao, Qi, Pun, Man-On
Format: Conference Proceeding
Language:English
Published: IEEE 05.05.2023
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ISSN:2379-1276
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Abstract Unmanned aerial vehicles (UAVs) have been recognized as the possible revolution in the fifth-generation (5G) wireless networks. In this work, we consider a scenario where a UAV base station (UAVBS) communicates with legitimate user equipments (UEs) in the presence of eavesdroppers (EDs). Specifically, a UAVBS travels around UEs in turns to send commands and collects information from UEs. To guarantee the data transmission rate, the millimeter-wave (mmWave) communication is integrated into the UAVBS system. Two problems are mainly resolved for the proposed system, namely radar-aided beamforming design and physical layer security (PLS) problem. With the assistance of the radar equipped on the UAVBS, the location of the UEs can be obtained before the beamforming is designed to solve the beam selection problem. In addition, the power allocation is optimized using the difference-of-two-convex-function (D.C.) programming algorithms. In order to safeguard data transmissions against such EDs, the PLS communication system is proposed by considering the location of the UAVBS. We derive the path planning algorithm for the UAVBS to avoid the data transmission with the EDs using the disciplined convex and concave programming (DCCP) algorithm. Extensive computer experiments validate the effectiveness of our proposed location-aware PLS communications in the UAVBS system.
AbstractList Unmanned aerial vehicles (UAVs) have been recognized as the possible revolution in the fifth-generation (5G) wireless networks. In this work, we consider a scenario where a UAV base station (UAVBS) communicates with legitimate user equipments (UEs) in the presence of eavesdroppers (EDs). Specifically, a UAVBS travels around UEs in turns to send commands and collects information from UEs. To guarantee the data transmission rate, the millimeter-wave (mmWave) communication is integrated into the UAVBS system. Two problems are mainly resolved for the proposed system, namely radar-aided beamforming design and physical layer security (PLS) problem. With the assistance of the radar equipped on the UAVBS, the location of the UEs can be obtained before the beamforming is designed to solve the beam selection problem. In addition, the power allocation is optimized using the difference-of-two-convex-function (D.C.) programming algorithms. In order to safeguard data transmissions against such EDs, the PLS communication system is proposed by considering the location of the UAVBS. We derive the path planning algorithm for the UAVBS to avoid the data transmission with the EDs using the disciplined convex and concave programming (DCCP) algorithm. Extensive computer experiments validate the effectiveness of our proposed location-aware PLS communications in the UAVBS system.
Author Cao, Qi
Pun, Man-On
Niu, Guanchong
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  organization: Guangzhou Institude of Technology, Xidian University,Guangzhou,P.R. China
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  givenname: Man-On
  surname: Pun
  fullname: Pun, Man-On
  email: SimonPun@cuhk.edu.cn
  organization: The Chinese University of Hong Kong,Shenzhen,P.R. China
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Snippet Unmanned aerial vehicles (UAVs) have been recognized as the possible revolution in the fifth-generation (5G) wireless networks. In this work, we consider a...
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SubjectTerms Array signal processing
Autonomous aerial vehicles
Base stations
Location-Aware Beamforming
Physical layer security
Programming
Trajectory
UAV Base Station
Wireless networks
Title Physical Layer Security Communications and Path Planning For UAV Base Stations
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