Joint UAV channel modeling and power control for 5G IoT networks

Xiuhua Fu,Cong Liu,Rongqun Peng,Mohamed Cheriet,Tian Ding

doi:10.1186/s13638-021-01988-2

Abstract

This paper studies the communication problem between UAVs and cellular base stations in a 5G IoT scenario where multiple UAVs work together. We are dedicated to the uplink channel modeling and the performance analysis of the uplink transmission. In the channel model, we consider the impact of 3D distance and multi-UAVs reflection on wireless signal propagation. The 3D distance is used to calculate the path loss, which can better reflect the actual path loss. The power control factor is used to adjust the UAV's uplink transmit power to compensate for different propagation path losses, so as to achieve precise power control. This paper proposes a binary exponential power control algorithm suitable for 5G networked UAV transmitters and presents the entire power control process including the open-loop phase and the closed-loop phase. The effects of power control factors on coverage probability, spectrum efficiency and energy efficiency under different 3D distances are simulated and analyzed. The results show that the optimal power control factor can be found from the point of view of energy efficiency.

Highlights

In recent years, with the penetration of new information technology and communication technology in mass production and living areas including natural disaster monitoring, search and rescue, agriculture and forestry protection, power line inspection, forest fire protection, etc., the demand for unmanned aerial vehicles (UAVs) has shown a rapid development trend
In many Internet of Things (IoT) scenarios based on UAVs, multiple UAVs are usually required to work together, and different UAVs are equipped with different sensing and camera equipment to collect data, images and videos of the target area
Based on the aforementioned series of problems that need to be resolved when the UAV and 5G network are integrated, the research content of this paper mainly focuses on the two aspects

Summary

Introduction

With the penetration of new information technology and communication technology in mass production and living areas including natural disaster monitoring, search and rescue, agriculture and forestry protection, power line inspection, forest fire protection, etc., the demand for unmanned aerial vehicles (UAVs) has shown a rapid development trend. As end-users of the 5G network, the aerial UE is inevitable to be different from the ground UE in many aspects, and these problems urgently need to be resolved in order to realize 5G vertical industry applications based on drones as soon as possible. Fotouhi et al [7] conducted a more comprehensive investigation on the development of UAV communications It first introduced the current types of UAVs, analyzed the challenges and opportunities faced by UAV and cellular network integration communication and studied different ways to reduce UAV communication energy consumption. In order to maximize the transmission rate of UAV, the joint optimization of beamforming and power allocation was studied in [12]

System model

10–3 PER 10–3 PER – Latency

Conclusion