Toward UAV-based communication: improving throughput by optimum trajectory and power allocation

Sedighe Nasrollahi,Seyed Masoud Mirrezaei

doi:10.1186/s13638-022-02087-6

Sedighe Nasrollahi, Seyed Masoud Mirrezaei

Open Access

https://doi.org/10.1186/s13638-022-02087-6

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Abstract

It is predicted that the use of unmanned aerial vehicles (UAVs) in communication systems will be more extensive in future generations of wireless telecommunication networks, due to their facilitating advantages. In this paper, a UAV-based wireless communication system is considered in which a UAV is employed as a relay to connect two ground users. These two disconnected users make a communication pair. Our aim is to maximize the minimum achievable information rate for the communication link between the transmitter and receiver, by cooperatively optimizing UAV trajectory and transmitter and source power allocation. Motivated by the above, we formulate the optimization problem. The solving process is complicated because of the non-convexity of the formulated problem. To overcome this difficulty, we convert the main problem to some sub-problems by fixing some constraints and solving them with iterative algorithms such as successive convex optimization and reaching the solution for the main problem. Simulation results show the capability of the proposed algorithm.

Highlights

1 Introduction By increasing mobile users in 5G and the expansion of Internet of Things (IoT) applications in future communication systems, communication networks face a high amount of data traffic that is out of available terrestrial base station’s capacity
A heuristic algorithm based on matching and swapping theory is used for user and Unmanned aerial vehicle (UAV) time scheduling, and the optimized power and trajectory are derived by solving a non-convex optimization problem
The authors in [25] considered boosting physical layer security by using a mobile relaying system, in which a UAV acts as a mobile relay and flexibly regulates its location to enhance the desired wireless communication security

Summary

Introduction

By increasing mobile users in 5G and the expansion of Internet of Things (IoT) applications in future communication systems, communication networks face a high amount of data traffic that is out of available terrestrial base station’s capacity. A heuristic algorithm based on matching and swapping theory is used for user and UAV time scheduling, and the optimized power and trajectory are derived by solving a non-convex optimization problem. The convex optimization problem for trajectory optimization for given source and UAV power allocation scenario can be summarized as:. The first sub-problem is solved with a fixed trajectory and outputs the optimal power allocation. It presents that when the UAV travels close to the source, it should transmit data with much more power because the link distance to the destination is more.

Objective

Findings

Conclusion