Joint Channel Allocation and Power Control for Uplink NOMA-Assisted Multi-UAV Networks

Shaojie Wen,Zengliang Liu,Lianbing Deng,Quoc-Tuan Vien

doi:10.1155/2021/8337419

Abstract

The explosive growth of data leads to that the traditional wireless networks cannot enable various quality of service (QoS) communication for cellular-connected multi-UAV (unmanned aerial vehicle) networks. To overcome this obstacle, we solve the joint optimization problem of channel allocation and power control for uplink NOMA-assisted multi-UAV networks. Firstly, we design a mixed integer nonlinear programming framework, where the channel gains are characterized with integral form in time interval and sorted in nondescending order as the priority index of the decoded signal. In order to propose a feasible algorithm, the initial power levels of UAVs are obtained and integrated into the original problem which is reduced to integer programming problem. Then, the UAVs whose channel gain differences satisfy the constraints will be divided into a group to share the same channel, while the initial power levels of UAVs are adjusted to get a more satisfactory initial solution for power control. Combining the solution of channel allocation and the initial power levels, we solve power control problem with asynchronous update mechanism until the power levels of UAVs remain unchanged. Finally, we propose a channel allocation algorithm and a power control algorithm with the asynchronous optimization mechanism, respectively. Simulation results show that the proposed algorithms can effectively improve the network performance in terms of the aggregated rate.

Highlights

Unmanned aerial vehicle (UAV) systems have been widely used in different scenarios because of its flexibility, especially in civilian applications, such as for aerial surveillance, moving target tracking, environment monitoring, and communication relaying [1]
Cellular-connected UAV [2] can break restrictions faced by traditional UAV systems, where UAVs are integrated into the cellular networks as new aerial users
The original optimization problem is formulated as a mixed integer nonlinear programming framework

Summary

Introduction

Unmanned aerial vehicle (UAV) systems have been widely used in different scenarios because of its flexibility, especially in civilian applications, such as for aerial surveillance, moving target tracking, environment monitoring, and communication relaying [1]. Cellular-connected UAV [2] can break restrictions faced by traditional UAV systems, where UAVs are integrated into the cellular networks as new aerial users. The explosive growth of data collected by UAVs increases the complexity of application environment. The traditional cellular technique (e.g., 3G/4G) cannot provide real-time communication services. As a consequence, applying NOMA technique to cellular-connected UAV networks can effectively improve the channel capacity and ensure the timeliness of the data transmission

Objectives

Results

Conclusion