Temporal-Correlation Modeling And Performance Analysis For Unmanned Aerial Vehicle Clustering Ultra Dense Networks

Unmanned Aerial Vehicle(UAV)base station is an effective approach to enrich the existing cellular system,which will meet the high dynamic service requirements for diverse scenarios,and become an important candidate solution for B5G network coverage and capacity enhancement.Using stochastic geometric tools,this paper first studies the temporal-correlation metric and coverage/throughput performance metrics based on user mobility in UDN.While the transmission of line-of-sight(LOS)and non-Line-of-Sight(NLOS)and clustering characteristics for UAV networks,the time-correlation metrics and performance analysis is investigated.The result can guide the characterization and optimization of network long-term averaged performance.The main work of this paper is divided into the following two parts:Due to the stability of the channel condition and the network topology in UDN,which leads to the temporal correlation of network parameters,while the user mobility influences the temporal correlation as well.Therefore,based on the user mobility model,temporal correlation modeling is completed to reflect the received signal correlation between different time slots,and the exact expressions of the multi-slot joint coverage probability and long-term average user throughpus zre derived to analyze the impact of different network parameters on the time correlation and the network performance.Simulations are also conducted with the analysis results,which shows that the temporal correlation increases with increasing path-loss factor,the joint coverage decreases with increasing mobility model factor.For the complexity of the air-to-ground communication transmission channel and the clustering effect of UAV base stations,the temporal correlation has different characteristics compared with UDN.Therefore,based on the UAV transmission model and UAV cluster distribution,the corresponding time correlation is modeled to characterize the interference correlation between different time slots.The exact expression of the joint coverage probability is derived to analyze the impact of different parameter settings of UAV base stations on temporal correlation and the network performance.The theoretical results of interference correlation and joint coverage witnesses significantly differences compared with the original analysis which proves that long-term observations is more rigorous.