3D Placement of an Unmanned Aerial Vehicle Base Station for Maximum Coverage of Users with Different QoS Requirements
arXiv:1709.05235 · doi:10.1109/LWC.2017.2752161
Abstract
The need for a rapid-to-deploy solution for providing wireless cellular services can be realized by unmanned aerial vehicle base stations (UAV-BSs). To the best of our knowledge, this letter is the first in literature that studies a novel 3D UAV-BS placement that maximizes the number of covered users with different Quality-of-Service requirements. We model the placement problem as a multiple circles placement problem and propose an optimal placement algorithm that utilizes an exhaustive search (ES) over a one-dimensional parameter in a closed region. We also propose a low-complexity algorithm, namely, maximal weighted area (MWA) algorithm to tackle the placement problem. Numerical simulations are presented showing that the MWA algorithm performs very close to the ES algorithm with a significant complexity reduction.
References in corpus (2)
Cited by in corpus (25)
- Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges
- Fast Deployment of UAV Networks for Optimal Wireless Coverage
- Cellular Connectivity for UAVs: Network Modeling, Performance Analysis and Design Guidelines
- UAV Base Station Location Optimization for Next Generation Wireless Networks: Overview and Future Research Directions
- Cognitive UAV Communication via Joint Maneuver and Power Control
- Fundamental Rate Limits of UAV-Enabled Multiple Access Channel with Trajectory Optimization
- Joint Power Allocation and Placement Scheme for UAV-assisted IoT with QoS Guarantee
- Backhaul-Aware Optimization of UAV Base Station Location and Bandwidth Allocation for Profit Maximization
- Joint Traffic-Aware UAV Placement and Predictive Routing for Aerial Networks
- Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks
- UAV-Assisted Cooperative & Cognitive NOMA: Deployment, Clustering, and Resource Allocation
- 3-D Dynamic UAV Base Station Location Problem
- Stochastic Geometry-based Trajectory Design for Multi-Purpose UAVs: Package and Data Delivery
- Cellular-Enabled UAV Communication: A Connectivity-Constrained Trajectory Optimization Perspective
- Traffic and Obstacle-aware UAV Positioning in Urban Environments Using Reinforcement Learning
- Air-to-Ground Communications Beyond 5G: CoMP Handoff Management in UAV Network
- Optimal 1D Trajectory Design for UAV-Enabled Multiuser Wireless Power Transfer
- UAV Trajectory and Communication Co-design: Flexible Path Discretization and Path Compression
- Uplink NOMA for Cellular-Connected UAV: Impact of UAV Trajectories and Altitude
- 3D UAV Trajectory and Communication Design for Simultaneous Uplink and Downlink Transmission
- Deployment Strategies of Multiple Aerial BSs for User Coverage and Power Efficiency Maximization
- Autonomous UAV Base Stations for Next Generation Wireless Networks: A Deep Learning Approach
- Cooperative Strategies for {UAV}-Enabled Small Cell Networks Sharing Unlicensed Spectrum
- A Fast Gateway Placement Algorithm for Flying Networks
- Interference Management in UAV-assisted Integrated Access and Backhaul Cellular Networks