Integration of Drone Connectivity in 5G: An Examination of the OASEES Framework

The present study introduces an innovative perspective on data management and processing by combining the OASEES framework with a decentralized, multimodal approach. While centralized processing and cloud hosting have dominated the industry due to their scalability, security, and cost-efficiency, they often restrict operations to a resource-constrained environment dependent on single, large entities, resulting in limitations in data governance and control over access privileges. By incorporating a drone swarm architecture, we transition away from this traditional model and focus on the underexplored potential of decentralization. Our proposed design outfits each autonomous drone, or Unmanned Aerial Vehicle (UAV), with a lightweight 5G system, converting it into a mobile service provider for ground-based User Equipment (UE). The interplay of these UEs and their respective UAV s creates a versatile and robust network, capable of handling high data rates and ensuring reliable connectivity in different operating environments. Our experimental results indicate a compelling correlation between the uplink bit rate of the node UE and the maximum downlink or uplink bit rates of the UEs, a critical discovery for optimizing the drone swarm's performance.