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We study an urban wireless network in which cache-enabled UAV-Access points(UAV-APs) and UAV-Base stations (UAV-BSs) are deployed to provide higherthroughput and ad-hoc coverage to users on the ground. The cache-enabledUAV-APs route the user data to the core network via either terrestrial basestations (TBSs) or backhaul-enabled UAV-BSs through an xHaul link. First, wederive the association probabilities in the access and xHaul links.Interestingly, we show that to maximize the line-of-sight (LoS) unmanned aerialvehicle (UAV) association, densifying the UAV deployment may not be beneficialafter a threshold. Then, we obtain the signal to interference noise ratio(SINR) coverage probability of the typical user in the access link and thetagged UAV-AP in the xHaul link, respectively. The SINR coverage analysis isemployed to characterize the successful content delivery probability by jointlyconsidering the probability of successful access and xHaul transmissions andsuccessful cache-hit probability. We numerically optimize the distribution offrequency resources between the access and the xHaul links to maximize thesuccessful content delivery to the users. For a given storage capacity at theUAVs, our study prescribes the network operator optimal bandwidth partitioningfactors and dimensioning rules concerning the deployment of the UAV-APs.

Cache Enabled UAV HetNets Access xHaul Coverage Analysis and Optimal Resource Partitioning