Spectrum and Energy Efficiency in Dynamic UAV-Powered Millimeter Wave Networks

Abstract

This letter investigates a dynamic scheme to analyze and optimize unmanned-aerial-vehicle-(UAV)-to-ground millimeter-wave (MMW) networks. First, a downlink energy transfer is proposed, followed by the uplink information transfer process between the UAV base stations (BSs) and a ground Internet of things (IoT) network. The UAVs fly above the ground IoT in the energy transfer phase with the dynamic regulation of the velocity according to the association distance with the IoT devices in order to minimize the path loss fading. Afterwards, the ground-based IoT devices use the received energy to transmit the uplink information by vertical links, where all the UAV BSs are modeled with gain from multiple three-dimensional uniform linear antenna arrays. After deriving new statistical properties, we analyze the spectrum efficiency and energy efficiency for the system. Our numerical results reveal that the dynamic scheme in UAV-to-ground IoT networks provides great advantages than a traditional static deployment.

Power Allocation and Energy Cooperation for UAV-Enabled MmWave Networks: A Multi-Agent Deep Reinforcement Learning Approach

“…Similarly, in Ref. [ 24 ], a downlink wireless power transfer and an uplink information transfer is proposed for mmWave UAV-to-ground networks. However, these contributions do not analyze energy cooperation between UAV-BSs.…”