Multi-UAV Assisted Multi-Tier Millimeter-Wave Cellular Networks for Hotspots With 2-Tier and 4-Tier Network Association

Abstract

The evolution of the fifth-generation (5G)/ beyond 5G (B5G) mobile communication networks greatly depends on the seamless integration of terrestrial and sky networks over advanced multitier heterogeneous network (HetNet) infrastructure. By using the huge potential of unmanned aerial vehicles (UAVs) and mm-Wave, we develop a novel and practical multi-UAV assisted multi-tier HetNet model which consists of clustered aerial UAV base stations (U-BSs) and Poisson point process (PPP) based ground BSs (G-BSs) for emergency and crowded hotspot area. In a typical cluster, both ground user equipments (GUEs) and UAVs are modeled as Poisson cluster process (PCP) and scattered around the common cluster center. Specially, the analysis is conducted by adding two additional tiers which consist of multiple intra-cluster U-BSs and single G-BS in representative cluster so that the point sets of U-BSs and G-BSs are partitioned into two subsets , respectively, and a 4-tier network model is formed. To find the contribution of the inter-cluster associations on the performance of networks, we construct 2-tier and 4-tier association schemes. The 2-tier association allows a GUE associated only with intra-cluster U-BSs and G-BS, while the 4-tier association allows all inter/intra-cluster U-BSs and G-BSs can be associated. Then, according to stochastic geometry methods, statistical description of the downlink interferences experienced at a typical GUE is derived. This derivation yields the downlink coverage probabilities and total network throughput are obtained. It is achieved that association probabilities greatly depend on the distribution of daughter point process. UAVs' height and the distributions of U-BSs and GUEs impose non-monotonous impact on coverage probabilities. Due to severe inter-cluster interference, the achievable average area throughput is not always increasing with SINR so that there is an optimal SINR threshold. In addition, our analysis finds the proposed 4-tier association scheme outperforms the simple 2-tier one in terms of the average area throughput.

A Novel Channel Model and Optimal Power Control Schemes for Mobile mmWave Two-Tier Networks

“…It is envisioned that a 100x increase in area capacity compared to long-term evolution (LTE) networks will be required in 5G [1]. Multi-tier networks that overlay each other with heterogeneous radio technologies and physical properties are a promising technology that can minimize coverage gaps, provide spatial diversity gain and support the ultra-high data traffic demand of hot-spots in future mmWave Systems [2]. A popular example of multi-tier networks is the two-tier Macro-Femtocell networks [3][4][5].…”

Performance Analysis of Group Selection in UAV Networks with Backhaul‐Aware Biasing

“…Considering building obstacles, in [7], the 3D blockage effect is modeled in cell association, where the user equipment (UE) is connecting to the nearest visible UAV. To model the priority association (including the backhaul factor) in cell selection, [8] adopts the biased association in multitier UAV networks, where UAVs in the same tier have the same bias factor, while in a realistic scenario, the bias factor should vary with the backhaul capacities. Our previous job [9] characterized the relation of backhaul capacity and association bias in cellular networks, while how to model the impact of backhaul variance in UAV networks remains an open challenge.…”