<i>Streaming From the Air</i> : Enabling Drone-Sourced Video Streaming Applications on 5G Open-RAN Architectures

Bertizzolo, Lorenzo; Tran, Tuyen X.; Buczek, John; Balasubramanian, Bharath; Jana, Rittwik; Zhou, Yu; Melodia, Tommaso

doi:10.1109/tmc.2021.3129094

Cited by 26 publications

(6 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A low-complexity, closed-loop control system for Open-RAN architectures to support drone-sourced video streaming applications is proposed by [95]. Flying drones has a higher likelihood of having line-of-sight propagation compared to UEs which can lead to performance degradation in high data rate transmission.…”

Section: Open Ran Field Issuesmentioning

confidence: 99%

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

Azariah,

Bimo,

Lin

et al. 2024

Sensors

View full text Add to dashboard Cite

The open radio access network (RAN) aims to bring openness and intelligence to the traditional closed and proprietary RAN technology and offer flexibility, performance improvement, and cost-efficiency in the RAN’s deployment and operation. This paper provides a comprehensive survey of the Open RAN development. We briefly summarize the RAN evolution history and the state-of-the-art technologies applied to Open RAN. The Open RAN-related projects, activities, and standardization is then discussed. We then summarize the challenges and future research directions required to support the Open RAN. Finally, we discuss some solutions to tackle these issues from the open source perspective.

show abstract

Section: Open Ran Field Issuesmentioning

confidence: 99%

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

Azariah,

Bimo,

Lin

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Furthermore, this type of cooperative collision avoidance could be better suited to managing fleets of delivery UAVs. The use of UTMs with 5G networks will enable dense information, such as video footage (Bertizzolo et al, 2021). This raises further privacy issues as this type of operation needs to emphasize compliance with data protection regulations.…”

Section: Air Traffic Management (Atm)mentioning

confidence: 99%

Autonomous aerial robotics for package delivery: A technical review

Saunders

Saeedi

2023

Journal of Field Robotics

View full text Add to dashboard Cite

Small unmanned aerial vehicles (UAVs) have gained significant interest in the last decade. More specifically these vehicles have the capacity to impact package delivery logistics in a disruptive way. This paper reviews research problems and state‐of‐the‐art solutions that facilitate package delivery. Different aerial manipulators and grippers are listed along with control techniques to address stability issues. Landing on a platform is next discussed which encompasses static and dynamic platforms. Landing on a dynamic platform presents further challenges. This includes delayed control responses and poor precision of the relative motion between the platform and the aerial vehicle. Subsequently, risks such as weather conditions, state estimation, and collision avoidance to ensure safe transit is considered. Finally, delivery UAV routing is investigated which categorizes the topic into two areas: drone operations and drone–truck collaborative operations. Additionally, we compare the solutions against design, environmental, and legal constraints.

show abstract

“…[8] investigated the power required to transmit a multi-layered video for optimal QoE, as measured in terms of video PSNR. [9] investigated the problem of UAV relocation and adjustment of the transmission directionality, when the UAV's transmitted uplink signal interferes with the transmissions in neighboring base stations (BSs). An uplink power allocation for UAV-assisted or UAVsourced streaming is considered essential because (i) UAVs are battery powered and a large uplink power can be detrimental to their operational times; (ii) uplink interference with the neighboring BSs should be avoided.…”

Section: Resource Aware Transmission Of Live Videomentioning

confidence: 99%

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

Batabyal¹,

Erçetin²

2022

Preprint

View full text Add to dashboard Cite

Real-time video surveillance has become a crucial technology for smart cities, made possible through the large-scale deployment of mobile and fixed video cameras. In this paper, we propose situation-aware streaming, for real-time identification of important events from livefeeds at the source rather than a cloud based analysis. For this, we first identify the frames containing a specific situation and assign them a high scale-of-importance (SI). The identification is made at the source using a tiny neural network (having a small number of hidden layers), which incurs a small computational resource, albeit at the cost of accuracy. The frames with a high SI value are then streamed with a certain required Signal-to-Noise-Ratio (SNR) to retain the frame quality, while the remaining ones are transmitted with a small SNR. The received frames are then analyzed using a deep neural network (with many hidden layers) to extract the situation accurately. We show 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 classification accuracy of 97.5%, for the given situation.

show abstract

Streaming From the Air : Enabling Drone-Sourced Video Streaming Applications on 5G Open-RAN Architectures

Cited by 26 publications

References 31 publications

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

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

Autonomous aerial robotics for package delivery: A technical review

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

Contact Info

Product

Resources

About