Unmanned aerial vehicles (UAVs) have the advantage of providing communication services for ground vehicles due to their high mobility and other characteristics. However, in urban environments, vehicles-UAV communication links are vulnerable to obstructions. Therefore, we introduce a UAV edge computing network with RIS enhancement to optimize vehicle throughput by adjusting task offloading, RIS phase shifts, transmission power, and computing resources. We tackle the nonconvex optimization problem using block coordinate descent and successive convex approximation, showing through simulations that our method surpasses others.
Reconfigurable Intelligent Surface-Assisted Offloading Strategy for UAV-Enabled Vehicle Edge Computing Networks
26.10.2023
872390 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Resource Allocation and Offloading Strategy for UAV-Assisted LEO Satellite Edge Computing
DOAJ | 2023
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