Affiliation:
1. Energy Development Research Institute China Southern Power Grid Guangzhou China
Abstract
AbstractThe utilization of distributed multi‐agent unmanned aerial vehicles (UAVs) for computing tasks in remote areas has gained significant traction in recent years due to their adaptability and capability to access hard‐to‐reach regions that are inaccessible to ground‐based methods. However, establishing wireless communication between UAVs and ground‐based data sources in remote areas presents considerable challenges, particularly when UAVs are in motion. To tackle this challenge, this article investigates a cache‐aided relaying system in the presence of UAVs, wherein a ground‐based decode‐and‐forward relay equipped with cache space is deployed to facilitate wireless communication between UAVs and a central data source. Within the scope of this system, we first analyze the probability of transmission outage, providing an analytical expression for performance evaluation. We commence with the case of a single stationary UAV, subsequently expanding to multiple stationary UAVs, and ultimately incorporating multiple dynamic UAVs. Subsequently, we enhance the system performance by minimizing the outage probability through efficient power resource allocation among users. By means of mathematical modeling and simulations, this research examines the influence of various factors, including the cache size at the relay and the working mode of the UAV, on the system performance. Finally, simulations are conducted to validate the proposed analysis.
Funder
China Southern Power Grid
Subject
Artificial Intelligence,Computational Mathematics