Energy-Efficient Deployment of Multiple UAVs Using Ellipse Clustering to Establish Base Stations
Si-Chan Noh, Hong-Bae Jeon, Chan-Byoung Chae
Abstract
The demand for future wireless communication systems is being satisfied for various circumstances through unmanned aerial vehicles (UAVs), which act as flying base stations (BSs). In this letter, we propose an ellipse clustering algorithm that maximizes the user coverage probability of UAV-BSs and avoids inter-cell interference with minimal transmit power. We obtain the coverage of each UAV by adjusting its antenna half-power beamwidth, orientation, and 3D location by minimizing the path loss of the cell-edge user. Simulation results confirm that the proposed algorithm achieves high system throughput and coverage probability with lower transmit power compared to conventional algorithms.
Topics & Concepts
Base stationComputer scienceCluster analysisEllipseReal-time computingInterference (communication)Transmitter power outputPath lossThroughputWirelessSoftware deploymentPath (computing)TrajectoryRemotely operated underwater vehiclePower (physics)Computer networkAntenna (radio)Wireless networkCoverage probabilityDirectional antennaMobile telephonyShadow mappingBase (topology)Cellular networkMobile radioWireless sensor networkUser equipmentAlgorithmAlgorithm designPower controlSignal-to-noise ratio (imaging)BeamformingUAV Applications and OptimizationAdvanced Wireless Communication TechnologiesSatellite Communication Systems