3D communication and small base stations

3D Deployment of Multiple UAV-Mounted Base Stations for UAV

This article investigates a communication system assisted by multiple UAV-mounted base stations (BSs), aiming to minimize the number of required UAVs and to improve the

3D Deployment of Unmanned Aerial Vehicle‐Base Station

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

3D Deployment of Multiple UAV-Mounted Base Stations for UAV Communications

This article investigates a communication system assisted by multiple UAV-mounted base stations (BSs), aiming to minimize the number of required UAVs and to improve the

3D deployment of UAV-mounted base stations for

Recently, unmanned aerial vehicles (UAVs) have been reported a lot as aerial base stations (BSs) to assist wireless communication in Internet of Things (IoT). However, most

3-D Positioning and Resource Allocation for Multi-UAV Base

Abstract In this paper, we propose to deploy multiple unmanned aerial vehicle (UAV) mounted base stations to serve ground users in outdoor environments with obstacles. In particular, the

Three-Dimensional Deployment Optimization of

We propose a novel systematic approach for the deployment optimization of unmanned aerial vehicles (UAVs). In this context, this

A tutorial on AI-powered 3D deployment of drone base stations:

In this article, we present a comprehensive tutorial on 3D location optimization of Drone-BSs. We first introduce UAV-assisted wireless networks along with their use cases and

Adaptive 3D Placement of Multiple UAV-Mounted Base

The 3D position of UAV-BSs should adapt to the time-varying network situation for better users'' QoE. We propose a DRL-based framework to adjust the UAV-BS position in each time slot

3-D UAV Small Cell Base Station Positioning and Resource

Abstract: Integrating unmanned aerial vehicles (UAVs) into wireless communication as aerial platforms to mount small cell base stations has grown rapidly in recent years.

linhhoang-ex/uav-bs-placement-drl

This repository is the implementation of the deep reinforcement learning (DRL) framework for multi-UAV 3D placement optimization proposed in

Three-Dimensional Deployment Optimization of UAVs Using

We propose a novel systematic approach for the deployment optimization of unmanned aerial vehicles (UAVs). In this context, this study focuses on enhancing the

linhhoang-ex/uav-bs-placement-drl

This repository is the implementation of the deep reinforcement learning (DRL) framework for multi-UAV 3D placement optimization proposed in the paper Adaptive 3D Placement of

Adaptive 3D Placement of Multiple UAV-Mounted Base Stations

Abstract: Uncrewed Aerial Vehicle-mounted Base Stations (UAV-BSs) have been envisioned as a promising solution to enable high-quality services in next-generation mobile networks.

3D communication and small base stations

3D Deployment of Multiple UAV-Mounted Base Stations for UAV

3D Deployment of Unmanned Aerial Vehicle‐Base Station

3D Deployment of Multiple UAV-Mounted Base Stations for UAV Communications

3D deployment of UAV-mounted base stations for

3-D Positioning and Resource Allocation for Multi-UAV Base

Three-Dimensional Deployment Optimization of

A tutorial on AI-powered 3D deployment of drone base stations:

Adaptive 3D Placement of Multiple UAV-Mounted Base

3-D UAV Small Cell Base Station Positioning and Resource

linhhoang-ex/uav-bs-placement-drl

Three-Dimensional Deployment Optimization of UAVs Using

linhhoang-ex/uav-bs-placement-drl

Adaptive 3D Placement of Multiple UAV-Mounted Base Stations

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3D Deployment of Multiple UAV-Mounted Base Stations for UAV Communications

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