Communications and Networking Technologies for Intelligent Drone Cruisers
Li-Chun Wang, Chuan-Chi Lai, Hong-Han Shuai, Hsin-Piao Lin, Chi-Yu Li,, Teng-Hu Cheng, Chiun-Hsun Chen

TL;DR
This paper proposes an AI-powered drone-cruiser base station to enhance 5G networks by providing rapid, adaptable aerial communication services for disaster recovery and large crowd events, overcoming current UAV limitations.
Contribution
Introduction of a novel AI-enabled drone-cruiser base station design for dynamic, long-term aerial communication support in 5G networks and beyond.
Findings
Design concepts for long-time hovering drone-cruisers.
Framework for crowd estimation and prediction.
Method for rapid 3D wireless channel modeling.
Abstract
Future mobile communication networks require an Aerial Base Station (ABS) with fast mobility and long-term hovering capabilities. At present, unmanned aerial vehicles (UAV) or drones do not have long flight times and are mainly used for monitoring, surveillance, and image post-processing. On the other hand, the traditional airship is too large and not easy to take off and land. Therefore, we propose to develop an "Artificial Intelligence (AI) Drone-Cruiser" base station that can help 5G mobile communication systems and beyond quickly recover the network after a disaster and handle the instant communications by the flash crowd. The drone-cruiser base station can overcome the communications problem for three types of flash crowds, such as in stadiums, parades, and large plaza so that an appropriate number of aerial base stations can be accurately deployed to meet large and dynamic traffic…
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