Coverage Analysis for Energy-Harvesting UAV-assisted mmWave Cellular
Networks
release_zx7navj7yzbmxlouujt4je4weu
by
Xueyuan Wang, M. Cenk Gursoy
2019
Abstract
In this paper, we jointly consider the downlink simultaneous wireless
information and power transfer (SWIPT) and uplink information transmission in
unmanned aerial vehicle (UAV)-assisted millimeter wave (mmWave) cellular
networks, in which the user equipment (UE) locations are modeled using Poisson
cluster processes (e.g., Thomas cluster processes or Mat\'ern cluster
processes). Distinguishing features of mmWave communications, such as different
path loss models for line-of-sight (LOS) and non-LOS (NLOS) links and
directional transmissions are taken into account. In the downlink phase, the
association probability, and energy coverages of different tier UAVs and ground
base stations (GBSs) are investigated. Moreover, we define a successful
transmission probability to jointly present the energy and
signal-to-interference-plus-noise ratio (SINR) coverages and provide general
expressions. In the uplink phase, we consider the scenario that each UAV
receives information from its own cluster member UEs. We determine the Laplace
transform of the interference components and characterize the uplink SINR
coverage. In addition, we formulate the average uplink throughput, with the
goal to identify the optimal time division multiplexing between the donwlink
and uplink phases. Through numerical results we investigate the impact of key
system parameters on the performance. We show that the network performance is
improved when the cluster size becomes smaller. In addition, we analyze the
optimal height of UAVs, optimal power splitting value and optimal time division
multiplexing that maximizes the network performance.
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