Joint ADS-B in 5G for Hierarchical Aerial Networks: Performance Analysis and Optimization

TL;DR

This paper proposes a hierarchical UAV monitoring system combining ADS-B and 5G technologies, utilizing models and simulations to enhance airspace safety and traffic management in aerial networks.

Contribution

It introduces a novel hierarchical structure integrating ADS-B and 5G for UAV monitoring, with models and experiments demonstrating improved safety and efficiency.

Findings

Enhanced air-to-ground and air-to-air communication models

Simulation results show improved UAV monitoring performance

Effective integration of 5G and ADS-B for airspace safety

Abstract

Unmanned aerial vehicles (UAVs) are widely applied in multiple fields, which emphasizes the challenge of obtaining UAV flight information to ensure the airspace safety. UAVs equipped with automatic dependent surveillance-broadcast (ADS-B) devices are capable of sending flight information to nearby aircrafts and ground stations (GSs). However, the saturation of limited frequency bands of ADS-B leads to interferences among UAVs and impairs the monitoring performance of GS to civil planes. To address this issue, the integration of the 5th generation mobile communication technology (5G) with ADS-B is proposed for UAV operations in this paper. Specifically, a hierarchical structure is proposed, in which the high-altitude central UAV is equipped with ADS-B and the low-altitude central UAV utilizes 5G modules to transmit flight information. Meanwhile, based on the mobile edge computing technique, the flight information of sub-UAVs is offloaded to the central UAV for further processing, and then transmitted to GS. We present the deterministic model and stochastic geometry based model to build the air-to-ground channel and air-to-air channel, respectively. The effectiveness of the proposed monitoring system is verified via simulations and experiments. This research contributes to improving the airspace safety and advancing the air traffic flow management.