The emerging concept of 3D networks, integrating terrestrial, aerial, and space layers, introduces a novel and complex structure characterized by stations relaying backhaul loads through point-to-point wireless links, fo...
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This paper considers the problem of deploying Unmanned Aerial Vehicle as flying base stations (UAV-BS) to support terrestrial communications networks, where the number of users is
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Abstract: Integrating unmanned aerial vehicles (UAVs) into wireless communication as aerial platforms to mount small cell base stations has grown rapidly in recent years.
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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 Multiple UAV-Mounted
Using Unmanned aerial vehicle (UAV) as base stations for providing communication services to urban residents has emerged as a novel trend in the era of the Internet of Things (IoT).
The emerging concept of 3D networks, integrating terrestrial, aerial, and space layers, introduces a novel and complex structure characterized by stations relaying backhaul loads through point-to-point
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We propose a novel systematic approach for the deployment optimization of unmanned aerial vehicles (UAVs). In this context, this study focuses on enhancing the coverage of UAV
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 associated
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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
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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.
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 geographic
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