An Efficient Modeling and Analysis Approach for mmWave UAV-Assisted Network Under Jamming Conditions

Millimeter-wave (mmWave) Unmanned Aerial Vehicle (UAV)-assisted networks, with their large bandwidth and ultra-high speeds, are considered to have great potential for application, but there is little research on the analysis of their performance under malicious interference. This paper addresses the significant blocking effects of mmWave UAV-assisted networks and their application in military operations, adopts an antenna model with variable beamwidth and direction, introduces airborne malicious jammers, models the distribution of UAVs through the MHCPP model with repulsion constraints, and uses stochastic geometry to analyze the coverage and capacity characteristics of the network under the existence of malicious interference, and derives the expression for coverage under active interference. Simulation results show that the achievable network throughput can be increased by 47%, and the coverage probability of a typical Ground User (GU) approaches an upper limit of approximately 95%.