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Proceedings ArticleDOI

Forecasting Spectrum Demand for UAVs Served by Dedicated Allocation in Cellular Networks

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TLDR
Network capacity results show that, deploying a sparse network with reservation of 1.4 MHz is sufficient for most cases according to current demands, and the increase in demand can be followed by a continuous deployment of sites and an increase in the bandwidth up to 5 MHz.
Abstract
In this paper, the usage of dedicated portions of cellular spectrum to provide the high-reliable Command and Control (C2) link for Unmanned Aerial Vehicles (UAVs) is evaluated. Simulations are performed using data settings of a real operating Long-Term Evolution (LTE) network in Denmark, in order to assess the reliability of the C2 link. Up to date databases of drone registrations and market projections are used to infer the drone densities and estimate the future traffic demand. Based on these estimations, network capacity results show that, deploying a sparse network with reservation of 1.4 MHz is sufficient for most cases according to current demands. In the next 20 years, the increase in demand can be followed by a continuous deployment of sites and an increase in the bandwidth up to 5 MHz. The paper also presents a discussion about which solutions can be used to further boost network capacity, and help to achieve high reliability even for the most stringent traffic demand cases.

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Citations
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Journal ArticleDOI

A Survey of Wireless Networks for Future Aerial Communications (FACOM)

TL;DR: This study observed that while numerous works focused on cellular technologies to enable connectivity for aerial platforms, a single wireless technology is not sufficient to meet the stringent connectivity demands of the aerial use cases, especially for the piloting operations.
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Enabling Cellular Communication for Aerial Vehicles: Providing Reliability for Future Applications

TL;DR: This article discusses how 5 G New Radio (NR) favors the integration of UAVs into cellular networks, as its flexible air interface and beamforming-suited frequencies facilitate the deployment of interference-management solutions.
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Resource management in UAV-assisted wireless networks: An optimization perspective

TL;DR: In this paper, the authors provide a comprehensive survey of resource management in UAV-assisted wireless networks from an optimization viewpoint, and provide future research directions to address the challenges for the successful deployment of UAV assisted wireless networks.
Journal ArticleDOI

Fresh, Fair and Energy-Efficient Content Provision in a Private and Cache-Enabled UAV Network

TL;DR: A novel algorithm based on the techniques of subproblem decomposition and convex approximation is proposed to tackle the challenging mixed-integer non-convex subproblems of a private and cache-enabled unmanned aerial vehicle (UAV) network for content provision.
Journal ArticleDOI

Fresh, Fair and Energy-Efficient Content Provision in a Private and Cache-Enabled UAV Network

TL;DR: In this paper , a joint UAV caching, UAV trajectory, and UAV transmit power optimization problem is formulated to deliver fresh, fair, and energy-efficient content files to terrestrial users, which is confirmed to be a sequential decision problem with mixed-integer non-convex constraints.
References
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Journal ArticleDOI

LTE in the sky: trading off propagation benefits with interference costs for aerial nodes

TL;DR: Interference is going to be a major limiting factor when LTE enabled UAVs are introduced, and that strong technical solutions will have to be found.
Journal ArticleDOI

Radio Channel Modeling for UAV Communication Over Cellular Networks

TL;DR: The results show that path loss exponent decreases as the UAV moves up, approximating freespace propagation for horizontal ranges up to tens of kilometers at UAV heights around 100 m.
Journal ArticleDOI

Modeling Cellular-to-UAV Path-Loss for Suburban Environments

TL;DR: An initial insight on the radio propagation characteristics of cellular-to-UAV (CtU) channel is provided and the statistical behavior of the path-loss from a cellular base station toward a flying UAV is model.
Journal ArticleDOI

How to Ensure Reliable Connectivity for Aerial Vehicles Over Cellular Networks

TL;DR: This paper investigates the performance of aerial radio connectivity in a typical rural area network deployment using extensive channel measurements and system simulations, and introduces and evaluates a novel downlink inter-cell interference coordination mechanism applied to the aerial command and control traffic.
Proceedings ArticleDOI

Coexistence of Terrestrial and Aerial Users in Cellular Networks

TL;DR: An in-depth analysis of the coverage probability of the downlink of a cellular network that serves both aerial and ground users is provided, which includes the effect of base stations (BSs) height, antenna pattern and drone altitude for various types of urban environments.
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