Energy-Aware Trajectory Design for UAV-mounted Full-duplex Relays

Unmanned aerial vehicles (UAVs) equipped with full-duplex relays (FDRs) are pivotal in overcoming connectivity challenges by dynamically establishing effective communication channels. However, despite their potential in network performance via trajectory optimization, integrating energy consumption models for UAV-mounted FDRs remains unexplored, crucial for trajectory design adhering to existing energy constraints. To this end, we introduce an energy-aware trajectory optimization framework to maximize network performance and user fairness within the UAV’s energy constraints. Specifically, we present a detailed energy consumption model describing the operational needs of UAV-mounted FDRs and formulate a joint time-division multiple access (TDMA) user scheduling-UAV trajectory optimization problem considering the power dynamics of UAV-mounted FDRs. Finally, our simulation results highlight the role of energy awareness in achieving optimal trajectory and scheduling, contributing to UAV-mounted FDRs’ performance in future networks.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/pimrc59610.2024.10817175
Primary Topic
Full-Duplex Wireless Communications
Type
article
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Energy-Aware Trajectory Design for UAV-mounted Full-duplex Relays

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Energy-Aware Trajectory Design for UAV-mounted Full-duplex Relays

Nikos Mitsiou, Panagiotis D. Diamantoulakis, Christos Liaskos, George K. Karagiannidis, Prodromos‐Vasileios Mekikis, Sotiris A. Tegos, Dimitrios Tyrovolas, Thomas G. Boufikos, Sotiris Ioannidis
article en

Abstract

Unmanned aerial vehicles (UAVs) equipped with full-duplex relays (FDRs) are pivotal in overcoming connectivity challenges by dynamically establishing effective communication channels. However, despite their potential in network performance via trajectory optimization, integrating energy consumption models for UAV-mounted FDRs remains unexplored, crucial for trajectory design adhering to existing energy constraints. To this end, we introduce an energy-aware trajectory optimization framework to maximize network performance and user fairness within the UAV’s energy constraints. Specifically, we present a detailed energy consumption model describing the operational needs of UAV-mounted FDRs and formulate a joint time-division multiple access (TDMA) user scheduling-UAV trajectory optimization problem considering the power dynamics of UAV-mounted FDRs. Finally, our simulation results highlight the role of energy awareness in achieving optimal trajectory and scheduling, contributing to UAV-mounted FDRs’ performance in future networks.

University of Ioannina (GR), Aristotle University of Thessaloniki (GR), Technical University of Crete (GR), Hilti (Liechtenstein) (LI)
Affordable and clean energy
Openalex Percentile: Top 77%
Full-Duplex Wireless Communications
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