Radar Imaging Based UAV Digital Twin for Wireless Channel Modeling in Mobile Networks

This paper looks into the realization of digital twin (DT) technology in unmanned aerial vehicle (UAV) networks. We propose, in particular, a framework for DT-based UAV applications in which distinct jobs in the digital twin interact with UAVs in the physical world via task manager scheduling. Furthermore, we investigate the use of 3D mmWave Radar imaging on UAVs and apply it to the process of radio frequency (RF) characterizing. After that, the method of 3D ray-tracing is employed to accomplish channel modelling of UAVs, which reflects RF domain digital twin match. Finally, we present numerical results to demonstrate that our developed digital twin platform can provide accurate RF presentation of UAV and therefore accomplish smart operating and administration of the actual UAV network.

I. Introduction

To construct the space-air-ground integrated network (SAGIN), the sixth generation of mobile communication technology (6G) will improve the network infrastructure in all possible spheres of existence. The requirements of 6G wireless communications are driving an increase in the bandwidth requirements of existing communication systems, the overlap of operational frequency bands, and an exponential increase in the number of devices. Since 6G networks must operate on a higher frequency range, the coverage area, routing loss, and cost to build the network would all suffer [1].