3D Deployment of Unmanned Aerial Vehicle‐Base Station Assisting Ground‐Base Station

Abstract

Unmanned aerial vehicles (UAVs), also named as drones, have become a modern model to provide a quick wireless communication infrastructure. They have been used when conventional base stations’ capacity is suffering in some extreme cases such as congestion inside the cell or a special event. This paper proposes an efficient three-dimension (3D) placement of a single UAV-assisted wireless network in such cases. Our proposed model assists the ground base station (GBS) using the UAV to serve arbitrary distributed users considering the impact of the obstacle blockage over the well-known air-to-ground (A2G) path model. This work is aimed at optimizing the percentage of available bandwidth that must be provided to the UAV in order to maximize the number of served users. In addition, it finds the 3D placement of the UAV base station (UAVBS) that maximizes the number of served users, each with maximum quality-of-service (QoS). The exhaustive search and particle swarm optimization (PSO) algorithms are used to find the problem’s solution.

Efficient 3D Positioning of UAVs and User Association Based on Hybrid PSO-K-Means Clustering Algorithm in Future Wireless Networks

“…Each UAV can accommodate 30 requests. According to (7), we have 4 UAVs. Furthermore, we assume that each UAV fies at a low altitude of [100-400] m. Now we allocate the data rates at random from the vector r → users and use the procedure described in Algorithm 2 to obtain the results.…”

“…In these scenarios, UAVs as base stations (BSs) have become a promising solution in future wireless networks. UAV-BSs can help a terrestrial BS network provide high data rate coverage at any time and place it is required [5][6][7]. Also, UAV-BSs can deal with the issue of temporary coverage in rural and poorly populated areas and when terrestrial wireless infrastructure has been harmed by a natural catastrophe [8][9][10].…”

Efficient three‐dimensional deployment of multiple unmanned aerial vehicles supporting ground base station toward maximizing served users with heterogeneous quality‐of‐service requirements

“…An essential challenge for cooperation between UAVs and GBS is to find 3D placements for UAVs to satisfy dynamic system requirements. 10,11 Several studies have investigated the 3D placement of UAVs in wireless networks. Mainly, the studies of UAVs can be categorized on the number of UAVs: single UAV, and multiple UAVs.…”

“…UAVs can collaborate with the cellular network to enhance capacity and coverage. An essential challenge for cooperation between UAVs and GBS is to find 3D placements for UAVs to satisfy dynamic system requirements 10,11 . Several studies have investigated the 3D placement of UAVs in wireless networks.…”

Research on Relay Network Method of Aerial Platform

“…Abdel Malek MA [3] and others increased the signal coverage of the base station by optimizing the location of the UAV base station. Hayajneh K F [4] and others used an exhaustive search algorithm and particle swarm optimization algorithm to complete the threedimensional layout of UAV base stations, and maximize the number of services on the premise of ensuring the quality of user service. When solving the problem of 5G network coverage, Literature [5] proposed to use priority and entropy methods to solve the deployment problem of UAV base stations so as to achieve full coverage of UAV base stations.…”