  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 demands.
Artificial intelligence can solve these problems by analyzing the collected
data, and then adjust the system parameters in the framework of Self-Organizing
Network (SON) to achieve the goals of self-configuration, self-optimization,
and self-healing. With the help of AI technologies, 5G networks can become more
intelligent. This paper aims to provide a new type of service, On-Demand Aerial
Base Station as a Service. This work needs to overcome the following five
technical challenges: innovative design of drone-cruisers for the long-time
hovering, crowd estimation and prediction, rapid 3D wireless channel learning
and modeling, 3D placement of aerial base stations and the integration of WiFi
front-haul and millimeter wave/WiGig back-haul networks.
