Clustering Users for the Deployment of UAV as Base Station to improve the Quality of Service
UABS, clustering, e QoS
Unmanned aerial vehicle (UAV) is a promising technology for mitigating Terrestrial Base Stations failures or even becoming an ideal temporary solution to offloading. UAV as Base Stations (UABS) can be deployed to complement existing cellular systems by providing additional capacity to hotspot areas as well as to provide network coverage in emergency and public safety situations. In terrestrial cellular networks, mobile devices at the cell edge often pose a performance bottleneck due to their long distances from the serving terrestrial base station (TBS), especially in the hotspot period when the TBS is heavily loaded. In this way, we propose a new scheme that leverages use of UABS, which flies into the cell edges where bottlenecks are detected aiming to maximize the coverage by using a user clusterization algorithm working in conjunction with a UABS positioning algorithm.