Due to advantages of moving feasibility and placing flexibility, Unmanned Aerial Vehicle (UAV) mounted Base Stations (UAV-BSs) have been widely utilized to assist congested cellular networks in several scenarios. In this paper, we study the deployment of UAV-BSs to alleviate traffic congestion in cellular networks. We formulate the network model for a UAV-assisted cellular network and formulate the deployment problem. In order to solve this problem, we propose a UAV deployment algorithm to deploy a number of UAV-BSs providing wireless communication services for ground user devices. The algorithm first initializes the service connection between UDs and SBSs. Secondly, UAV-BSs are deployed to ensure that all ground user devices are covered with a minimum number of UAV-BSS. Finally, UAV-BSs’ altitudes are adjusted to minimize the coverage range and reduce energy consumption. Furthermore, numerical results demonstrate the efficiency of our proposed algorithm.
Deployment of UAV-BS for Congestion Alleviation in Cellular Networks / Liu, X.; Wang, X.; Jia, J.; Bartolini, N.; Sun, Y.. - 12939:(2021), pp. 46-55. (Intervento presentato al convegno 16th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2021 tenutosi a chn) [10.1007/978-3-030-86137-7_6].
Deployment of UAV-BS for Congestion Alleviation in Cellular Networks
Bartolini N.
;
2021
Abstract
Due to advantages of moving feasibility and placing flexibility, Unmanned Aerial Vehicle (UAV) mounted Base Stations (UAV-BSs) have been widely utilized to assist congested cellular networks in several scenarios. In this paper, we study the deployment of UAV-BSs to alleviate traffic congestion in cellular networks. We formulate the network model for a UAV-assisted cellular network and formulate the deployment problem. In order to solve this problem, we propose a UAV deployment algorithm to deploy a number of UAV-BSs providing wireless communication services for ground user devices. The algorithm first initializes the service connection between UDs and SBSs. Secondly, UAV-BSs are deployed to ensure that all ground user devices are covered with a minimum number of UAV-BSS. Finally, UAV-BSs’ altitudes are adjusted to minimize the coverage range and reduce energy consumption. Furthermore, numerical results demonstrate the efficiency of our proposed algorithm.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
