• Corpus ID: 244130345

Streaming from the Air: Enabling Drone-sourced Video Streaming Applications on 5G Open-RAN Architectures

  title={Streaming from the Air: Enabling Drone-sourced Video Streaming Applications on 5G Open-RAN Architectures},
  author={Lorenzo Bertizzolo and Tuyen X. Tran and John Buczek and Bharath Balasubramanian and Rittwik Jana and Yu Zhou and Tommaso Melodia},
Enabling high data-rate uplink cellular connectivity for drones is a challenging problem, since a flying drone has a higher likelihood of having line-of-sight propagation to base stations that terrestrial UEs normally do not have line-of-sight to. This may result in uplink inter-cell interference and uplink performance degradation for the neighboring ground UEs when drones transmit at high data-rates (e.g., video streaming). We address this problem from a cellular operator’s standpoint to… 

A Survey on Open Radio Access Networks: Challenges, Research Directions, and Open Source Approaches

The RAN evolution history and the state-of-the-art technologies applied in open RAN are summarized, and some solutions to tackle these issues from the open source’s perspective are discussed.

The Future of Broadband Connectivity: Terrestrial Networks vs Satellite Constellations

This paper looks at the landscape of broadband connectivity as consumers welcome disruptive newcomers, the satellite service providers, into the telecommunication and internet ecosystem. It

A Middleware for Digital Twin-Enabled Flying Network Simulations Using UBSim and UB-ANC

This work designs a multi-fidelity simulator taking wireless Unmanned Aerial Vehicle (UAV) networks into consideration, and develops a coordination interface referred to as SimSocket for signaling exchanges between UBSim and UB-ANC in simulations.

An End-to-End Integrated Computation and Communication Architecture for Goal-oriented Networking: A Perspective on Live Surveillance Video

This paper proposes situation-aware streaming, for real-time identification of important events from live-feeds at the source rather than a cloud based analysis, and shows that the proposed scheme is able to reduce the required power consumption of the transmitter by 38.5% for 2160p (UHD) video, while achieving a classi-cation accuracy of 97.5%, for the given situation.

Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges

How the O-RAN RAN Intelligent Controllers (RICs) can be used to effectively control and manage 3GPP-defined RANs is described and discussed.

Closed-Form UAV LoS Blockage Probability in Mixed Ground- and Rooftop-Mounted Urban mmWave NR Deployments

This study uses the tools of integral geometry to characterize connectivity properties of UAVs in terrestrial urban deployments of mmWave NR systems using UAV line-of-sight (LoS) blockage probability as the main metric of interest, and shows that rooftop-mounted mmWave BSs allow for the drastic improvement of LoS blockage probabilities.



Radio Channel Modeling for UAV Communication Over Cellular Networks

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.

What is A Wireless UAV?: A Design Blueprint for 6G Flying Wireless Nodes

This work revise the major design challenges in the prototyping of wireless UAVs for future 6G spectrum research and introduces a new Wireless UAV prototype that addresses these challenges.

Learning to Fly: A Distributed Deep Reinforcement Learning Framework for Software-Defined UAV Network Control

This article introduces a new architectural framework to control and optimize UAV networks based on Deep Reinforcement Learning (DRL), and proposes a virtualized, ‘ready-to-fly’ emulation environment to generate the extensive wireless data traces necessary to train DRL algorithms.

An Experimental mmWave Channel Model for UAV-to-UAV Communications

This work proposes an empirical propagation loss model for UAV-to-UAV communications at 60 GHz, based on an extensive aerial measurement campaign conducted with the Facebook Terragraph channel sounders, and compares it with 3GPP channel models and makes the measurement dataset publicly available.

SkyHaul: An Autonomous Gigabit Network Fabric in the Sky

SKYHAUL is the first large-scale, autonomous, self-organizing network of Unmanned Aerial Vehicles (UAVs) that are connected using a mmWave wireless mesh backhaul, and incorporates various elements that simultaneously address application tracking and backhaul connectivity.

Robust mission planning of UAV networks for environmental sensing

This paper builds ASTRO+, an aerial-ground pollution monitoring platform, and uses it to collect a comprehensive dataset of both aerial and reference air pollution measurements, and evaluates the mission planning approach based on a VOC pollution dataset and shows a high performance improvement.

CellOS: Zero-touch Softwarized Open Cellular Networks

From Cloud RAN to Open RAN

The generic definitions, basic functionalities and current research trends in Cloud Radio Access Networks and its derivatives, Virtual Radio access Networks and Open Radio Access networks are presented.

Live and let Live: Flying UAVs Without affecting Terrestrial UEs

A control mechanism is designed to jointly optimize the trajectory of the drone and the directional orientation of the uplink transmission to reduce interference to adjacent BSs through a combination of steerable directional transmitters and optimized flight control.