Joint throughput and coverage maximization for moving users by optimum UAV positioning in the presence of underlaid D2D communications

A fundamental challenge in using unmanned aerial vehicles as a flight base station is establishing coverage and creating the best possible rate. Drone location determines the maximum coverage probability and available rate. The paper considers a moving UAV as an aerial base station for downlink users with Gauss-Markov random movement and receiving interference from two users. First, we consider several points randomly in the area covered by the drone to find the optimal position. Using Algorithm (1), we calculate the maximum radius that the UAV can cover. After that, the algorithm (2) determines the distance of users to random points, the probability of coverage, and the available rate. In the end, we calculate the optimal point of the drone based on Algorithm (3). The results of the simulation using MATLAB show that after finding the optimal position of the drone, 95 percent of the users are covered and 0.15 Gbps is the average available rate for downlink users. Compared to other methods, it has the highest value.

Automated summary

The paper focuses on the challenge of establishing coverage and creating the best possible rate when using unmanned aerial vehicles as a flight base station. It introduces algorithms to determine the optimal position of the drone and evaluates the coverage probability and available rate. The simulation results demonstrate that this method achieves high coverage probability and an average available rate for downlink users.