3-D Dynamic UAV Base Station Location Problem

@article{iek20213DDU,
  title={3-D Dynamic UAV Base Station Location Problem},
  author={Cihan Tuğrul Çiçek and Zuo‐Jun Max Shen and Hakan Gultekin and B{\"u}lent Tavli},
  journal={INFORMS J. Comput.},
  year={2021},
  volume={33},
  pages={839-860}
}
We address a dynamic covering location problem of an unmanned aerial vehicle base station (UAV-BS), in which the location sequence of a single UAV-BS in a wireless communication network is determined to satisfy data demand arising from ground users. This problem is especially relevant in the context of smart grid and disaster relief. The vertical movement ability of the UAV-BS and nonconvex covering functions in wireless communication restrict utilizing classical planar covering location… 

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References

SHOWING 1-10 OF 72 REFERENCES

3-D Placement of an Unmanned Aerial Vehicle Base Station for Maximum Coverage of Users With Different QoS Requirements

This letter is the first in literature that studies a novel 3-D UAV-BS placement that maximizes the number of covered users with different quality-of-service requirements and proposes a low-complexity algorithm, namely, maximal weighted area (MWA) algorithm to tackle the placement problem.

UAV Base Station Location Optimization for Next Generation Wireless Networks: Overview and Future Research Directions

A generic optimization framework through a universal Mixed Integer Non-Linear Programming (MINLP) formulation is constructed and the specifications of its constituents are elaborated and the generic problem is classified into a novel taxonomy.

Adaptive Deployment for UAV-Aided Communication Networks

An adaptive deployment scheme for a UAV-aided communication network, where the UAV adapts its displacement direction and distance to serve randomly moving users’ instantaneous traffic in the target cell, outperforms the traditional non-adaptive scheme when the user density is not large.

Backhaul-Aware Trajectory Optimization of Fixed-Wing UAV-Mounted Base Station for Continuous Available Wireless Service

The fixed-wing UBS is considered for providing continuous available wireless services to ground users with a novel dynamic resource allocation framework and the optimal resource allocations for both out-band and in-band wireless backhaul schemes are derived using convex optimization theory.

Cellular-Enabled UAV Communication: A Connectivity-Constrained Trajectory Optimization Perspective

This paper proposes an efficient method to verify its feasibility via checking the connectivity between two given vertices on an equivalent graph, and obtains useful structural results on the optimal UAV trajectory, based on which two efficient methods are proposed to find high-quality approximate trajectory solutions by leveraging the techniques from graph theory and convex optimization.

Trajectory and Communication Design for UAV-Relayed Wireless Networks

The objective is to maximize the minimum average information rate of each communication pair by optimizing the time slot allocation, power allocation, and UAV trajectory by solving the two subproblems alternately.

UAV-Enabled Wireless Power Transfer: Trajectory Design and Energy Optimization

A new successive hover-and-fly trajectory motivated by the optimal trajectory in the ideal case is proposed and efficient trajectory designs are obtained by applying the successive convex programing optimization technique.

The location-allocation problem of drone base stations

Energy Minimization for Wireless Communication With Rotary-Wing UAV

This paper derives a closed-form propulsion power consumption model for rotary-wing UAVs, and proposes a new path discretization method to transform the original problem into a discretized equivalent with a finite number of optimization variables, for which the proposed designs significantly outperform the benchmark schemes.

Autonomous UAV Trajectory for Localizing Ground Objects: A Reinforcement Learning Approach

This work proposes a novel framework based on reinforcement learning (RL) to enable a UAV (agent) to autonomously find its trajectory that results in improving the localization accuracy of multiple objects in shortest time and path length, fewer signal-strength measurements (waypoints), and/or lower UAV energy consumption.
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