Abstract
The application of unmanned aerial vehicles (UAVs) to emerging communication systems has attracted a lot of research interests due to the advantages of UAVs, such as high mobility, flexible deployment, and cost-effectiveness. The UAV-carried base stations (UAV-BS) can provide on-demand service to users in temporary or emergency events. However, how to optimize the communication performance of a UAV-BS with a limited-bandwidth wireless backhaul is still a challenge. This paper focuses on improving the spectrum efficiency of a UAV-BS while guaranteeing user fairness under in-band backhaul constraint. We propose to maximize the minimum user rate among all the users served by the UAV-BS by jointly optimizing the allocation of bandwidth and transmit power, as well as the trajectory of the UAV-BS. As the formulated problem is non-convex, we propose an efficient algorithm to solve it suboptimally based on the alternating optimization and successive convex optimization methods. Computer simulation results show that the proposed algorithm achieves a significantly higher minimum user rate than the benchmark schemes.
Highlights
Unmanned aerial vehicles (UAVs) have the advantages of high mobility, flexible control, easy deployment, and so on and have been used in various fields, such as inspection, cargo delivery, search and rescue, and precise agriculture
We investigate trajectory and resource allocation design for mobile UAVBSs under limited-bandwidth backhaul constraint, which has not been considered by the aforementioned works
To improve the spectrum efficiency of a UAV-Base station (BS) under in-band backhaul constraint while guarantee user fairness, we propose to maximize the minimum rate among all the users served by the UAV-carried base station (UAV-BS) by jointly optimizing the allocation of bandwidth and transmit power, as well as the trajectory of the UAV-BS, subject to constraints on the backhaul information causality, mobility of the UAV-BS, total bandwidth, and maximum transmit power
Summary
Unmanned aerial vehicles (UAVs) have the advantages of high mobility, flexible control, easy deployment, and so on and have been used in various fields, such as inspection, cargo delivery, search and rescue, and precise agriculture. An algorithm that jointly optimizes the placement of UAV-BS, resource allocation, and user association for multiple UAV-BSs with in-band backhaul has been proposed in [35]. An interference management algorithm is proposed to optimize the user association, transmit power allocation, and placement of a UAV-BS with an in-band backhaul [36]. To improve the spectrum efficiency of a UAV-BS under in-band backhaul constraint while guarantee user fairness, we propose to maximize the minimum rate among all the users served by the UAV-BS by jointly optimizing the allocation of bandwidth and transmit power, as well as the trajectory of the UAV-BS, subject to constraints on the backhaul information causality, mobility of the UAV-BS, total bandwidth, and maximum transmit power.
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