Secrecy Capacity Analyses and Trajectory Optimization for IRS-UAV Networks
In this study, an intelligent reflective surface (IRS)-assisted communication system has been investigated from the perspective of secrecy capacity analysis. Analyses have been conducted in the presence of a group of unmanned aerial vehicles (UAVs) acting as covert listeners, aiming to eavesdrop on...
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| Published in | 2024 47th International Conference on Telecommunications and Signal Processing (TSP) pp. 173 - 176 |
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| Main Authors | , , , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
10.07.2024
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| Subjects | |
| Online Access | Get full text |
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| Abstract | In this study, an intelligent reflective surface (IRS)-assisted communication system has been investigated from the perspective of secrecy capacity analysis. Analyses have been conducted in the presence of a group of unmanned aerial vehicles (UAVs) acting as covert listeners, aiming to eavesdrop on legitimate user information in the transmission environment. Additionally, trajectory optimization has been explored in a scenario integrated with UAVs and IRS, evaluating the impact of the determined optimum trajectory on the physical layer security performance. With the Multiple Penalized Principal Curves (MPPC) algorithm, it is concluded that secrecy capacity is increased by approximately 4 dB for the scenario involving IRS-UAV networks. |
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| AbstractList | In this study, an intelligent reflective surface (IRS)-assisted communication system has been investigated from the perspective of secrecy capacity analysis. Analyses have been conducted in the presence of a group of unmanned aerial vehicles (UAVs) acting as covert listeners, aiming to eavesdrop on legitimate user information in the transmission environment. Additionally, trajectory optimization has been explored in a scenario integrated with UAVs and IRS, evaluating the impact of the determined optimum trajectory on the physical layer security performance. With the Multiple Penalized Principal Curves (MPPC) algorithm, it is concluded that secrecy capacity is increased by approximately 4 dB for the scenario involving IRS-UAV networks. |
| Author | Calik, Nurullah Durak-Ata, Lutfiye Namdar, Mustafa Alakoca, Hakan Basgumus, Arif |
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| SubjectTerms | Approximation algorithms Autonomous aerial vehicles intelligent reflective surfaces Physical layer security Privacy secrecy capacity Signal processing Signal processing algorithms trajectory optimization Transmitting antennas |
| Title | Secrecy Capacity Analyses and Trajectory Optimization for IRS-UAV Networks |
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