Abstract
This paper considers an unmanned aerial vehicle (UAV) base station (BS) network with delay-sensitive users and delay-tolerant users on the ground, which have different quality-of-service (QoS) requirements. In the network, the backhaul link connecting the backhaul gateway and the UAV-BS shares the same spectrum with the data links connecting the UAV-BS and the users due to spectrum scarcity. To improve the rate performance of the delay-tolerant users and to guarantee the QoS of the delay-sensitive users, we aim to maximize the minimum rate of the delay-tolerant users by jointly optimizing the bandwidths of the backhaul link and the data links, the transmit power allocated to different users and the trajectory of the UAV-BS, subject to the constraints on UAV mobility, total bandwidth, total transmit power, backhaul data rate, and minimum rate requirements of the delay-sensitive users. Although the formulated problem is non-convex and difficult to solve optimally, we propose an efficient algorithm to find a suboptimal solution to it. Simulation results show that the proposed joint optimization algorithm achieves significantly higher minimum user rate than the benchmark schemes.
Highlights
After decades of rapid development, unmanned aerial vehicles (UAVs) have been widely used in military, transportation, agriculture, logistics, and many other fields, and have brought a lot of changes to people’s lives, due to their advantages such as high maneuverability, easy deployment, and low cost
With the rising of the fifth-generation (5G) wireless communication era, UAVs have found their roles in assisting wireless communication, which help to boost the performance of 5G networks and satisfying the quality-of-service (QoS) requirements of users [1]
Trajectory optimization with fixed bandwidth and power allocation scheme: it fixes the bandwidths of different links and the power allocated to different users by setting x0,n = 1/2, xk,n = 1/(2K ), and pk,n = pmax/K, and optimizes the UAV trajectory by executing steps 5-10 of Algorithm 1
Summary
After decades of rapid development, unmanned aerial vehicles (UAVs) have been widely used in military, transportation, agriculture, logistics, and many other fields, and have brought a lot of changes to people’s lives, due to their advantages such as high maneuverability, easy deployment, and low cost. The communication performance of UAV-enabled communications can be improved by exploiting UAVs’ high mobility via appropriate trajectory design [2]–[5]. Such performance improvement can be achieved in the unmanned ground vehicle (UGV) communications [9], [10], designing UAVs’ trajectories has much fewer constraints than designing UGVs’ routes, such as obstructions and road restrictions, UAV-enabled communications have more degree of freedom in performance optimization
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call