Adaptive Video with SCReAM over LTE for Remote‐Operated Working Machines

Johansson, Ingemar; Dadhich, Siddharth; Bodin, Ulf; Jonsson, T.

doi:10.1155/2018/3142496

Cited by 9 publications

(5 citation statements)

References 20 publications

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“…SCReAM adopts a self-clocking principle, i.e., it uses a feedback-based reactive congestion window to minimize the round-trip-time (RTT) without compromising link utilization/throughput. The self-clocking in SCReAM enables channel jitter-aware congestion control in wireless scenarios, introduced by, e.g., radio resource scheduling in dynamic radio conditions [38]. Using reasonable congestioncontrol algorithms, it measures the achievable data rate for a given network configuration and environment.…”

Section: B Preliminary Resultsmentioning

confidence: 99%

Remote-Timber: An Outlook for Teleoperated Forestry with First 5G Measurements

Mahmood¹,

Abedin²,

O’Nils³

et al. 2023

Preprint

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Across all industries, digitalization and automation are on the rise under the Industry 4.0 vision, and the forest industry is no exception. The forest industry depends on distributed flows of raw materials to the industry through various phases, wherein the typical workflow of timber loading and offloading is finding traction in using automation and 5G wireless networking technologies to enhance efficiency and reduce cost. This article presents one such ongoing effort in Sweden, Remote-Timber—demonstrating a 5G-connected teleoperation use-case within a workflow of timber terminal—and disseminates its business attractiveness as well as first measurement results on network performance. Also, it outlines future needs of the 5G network design/optimization from teleoperation perspective. Overall, the motivation of this article is to disseminate our early-stage findings and reflections to the industrial and academic communities for furthering the research and development activities in enhancing 5G networks for verticals.

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Section: B Preliminary Resultsmentioning

confidence: 99%

Remote-Timber: An Outlook for Teleoperated Forestry with First 5G Measurements

Mahmood¹,

Abedin²,

O’Nils³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…SCReAM adopts a self-clocking principle, i.e., it uses a feedback-based reactive congestion window to minimize the round-trip-time (RTT) without compromising link utilization/throughput. The self-clocking in SCReAM enables channel jitter-aware congestion control in wireless scenarios, introduced by, e.g., radio resource scheduling in dynamic radio conditions [33]. Using reasonable congestioncontrol algorithms, it measures the achievable data rate for a given network configuration and environment.…”

Section: B Preliminary Resultsmentioning

confidence: 99%

Remote-Timber: An Outlook for Teleoperated Forestry with First 5G Measurements

Mahmood¹,

Abedin²,

O’Nils³

et al. 2022

Preprint

View full text Add to dashboard Cite

Across all industries, digitalization and automation are on the rise under the Industry 4.0 vision, and the forest industry is no exception. The forest industry depends on distributed flows of raw materials to the industry through various phases, wherein the typical workflow of timber loading and offloading is finding traction in using automation and 5G wireless networking technologies to enhance efficiency and reduce cost. This article presents one such ongoing effort in Sweden, Remote-Timber—demonstrating a 5G-connected teleoperation use-case within a workflow of timber terminal—and disseminates its business attractiveness as well as first measurement results on network performance. Also, it outlines future needs of the 5G network design/optimization from teleoperation perspective. Overall, the motivation is to disseminate our early-stage findings and reflections to the industrial and academic communities for furthering the research and development activities in enhancing 5G networks for verticals.

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“…Other rate control methods, such as look-ahead approaches [9,10] enable variable allocation of a constant total bitrate for multiple videos. In the field of teleoperation, the work presented in [11] performs variable bitrate allocation for a multi-camera system at varying radio conditions. This is related to some of the objectives in this paper.…”

Section: Adaptive Multi-camera Video Streamingmentioning

confidence: 99%

Adaptive Video Configuration and Bitrate Allocation for Teleoperated Vehicles

Schimpe¹,

Hoffmann²,

Diermeyer³

2021

Preprint

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Vehicles with autonomous driving capabilities are present on public streets. However, edge cases remain that still require a human in-vehicle driver. Assuming the vehicle manages to come to a safe state in an automated fashion, teleoperated driving technology enables a human to resolve the situation remotely by a control interface connected via a mobile network. While this is a promising solution, it also introduces technical challenges, one of them being the necessity to transmit video data of multiple cameras from the vehicle to the human operator. In this paper, an adaptive video streaming framework specifically designed for teleoperated driving is proposed and demonstrated. The framework enables automatic reconfiguration of the video streams of the multi-camera system at runtime. Predictions of variable transmission service quality are taken into account. With the objective to maximize visual quality, the framework uses so-called rate-quality models to dynamically allocate bitrates and select resolution scaling factors. Results from deploying the proposed framework on an actual teleoperated driving system are presented.

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Adaptive Video with SCReAM over LTE for Remote‐Operated Working Machines

Cited by 9 publications

References 20 publications

Remote-Timber: An Outlook for Teleoperated Forestry with First 5G Measurements

Remote-Timber: An Outlook for Teleoperated Forestry with First 5G Measurements

Remote-Timber: An Outlook for Teleoperated Forestry with First 5G Measurements

Adaptive Video Configuration and Bitrate Allocation for Teleoperated Vehicles

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