UAV-Based Collaborative Electronic Reconnaissance Network for 6G

Fucheng Yang,Jie Song,Wei Xiong,Xutao Cui,Haitao Xu

doi:10.1155/2021/5827665

Abstract

In unmanned aerial vehicle (UAV) collaborative electronic reconnaissance network, single UAV is always restricted by flyability and sensing capacity; hence, a cooperative network is built to realize the electronic reconnaissance. In this paper, a three-level electronic reconnaissance network is proposed, including the radiation target, UAV-based electronic reconnaissance equipment, and the command center. Each of the UAVs is capable of monitoring several radiation targets at the same time. Since the topology of the UAV network influences the effect of electronic reconnaissance, in this contribution, optimization is achieved based on the improvement of radiation coverage. If there is no radiation target within the sensing scope, the corresponding UAV will remove according to our novel strategy. Iterate operations are carried out for the relative optimum performance. Simulation results show that the UAV network topology optimization is capable of improving the coverage of radiation targets effectively.

Highlights

In 2018, the US Federal Communications Commission (FCC) pointed out that 6G communication era is not far away anymore [1,2,3]
In view of the abovementioned characteristics of full spectrum, three-dimensional and fragmentation of 6G, we proposed to use unmanned aerial vehicle (UAV) platforms to carry out collaborative spectrum sensing of 6G communication network
We assume that the load carried on the UAV platform is sensitive and effective and has the same uniform performance

Summary

Induction

In 2018, the US Federal Communications Commission (FCC) pointed out that 6G communication era is not far away anymore [1,2,3]. In the face of large area and complex environment, static sensor network needs a huge number of sensor nodes In this case, it is necessary to plan a reasonable path to realize the patrol of the designated observation area. According to the survival/efficiency ratio of UAV considered in literature [10, 15, 22, 23], for environmental perception in extreme situation, route planning is carried out by using the overall survivability and task assignment of the UAV network to guarantee the overall survivability of the UAV network Another path planning of the UAV network can be summarized as the dynamic UAV network corresponding to the dynamic target group, that is, both the target and the UAV platform have high dynamic capability [14, 24]. The effective coverage rate of the UAV network to the radiation source within the detection range is calculated by simulation under different iteration times, so as to verify the actual effectiveness of the proposed method without prior information

System Model

Topology Optimization Algorithm

Performance Analysis

Simulation Results

Conclusion