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MIJ 2025, Volume 134, Number 5 (pp. 59 to 66)
[ACTIVE]

Using ATSC 3.0 with the Cloud

Metadata

Publisher
SMPTE
Doc Type
Journal Article
Content Type
Original Research
Abbreviated Title
SMPTE Motion Imaging Jour.
Volume
134, No. 5, pp. 59–66
Abstract
The transition to Advanced Television Systems Committee (ATSC) 3.0 is driving innovation in broadcasting by combining broadcast and broadband. This paper presents a reference architecture for implementing an ATSC 3.0 workflow in the cloud, with a focus on Studio-to-Transmitter Link (STL) transport over the public internet. All components of an ATSC 3.0 system, except for the exciter and transmitter, can be cloud-based. The dual reception capability of ATSC 3.0 enables simultaneous content delivery from Over-the-Air (OTA) broadcast and Over-the-Top (OTT) broadband sources, allowing for seamless service delivery and a broadband backup during STL Transport Protocol (STP) disconnection. However, Content Delivery Network (CDN) overflow during broadcast disruptions presents challenges. Amazon CloudFront's caching layers, including Regional Edge Caches (REC) and Origin Shield, are analyzed to mitigate high traffic demands. Automatic Repeat reQuest protocols (ARQ) for STLTP distribution over public networks are explored, ensuring secure transmission with zero packet loss using Secure Reliable Transport (SRT) and Reliable Internet Stream Transport (RIST) protocols.
Publication Date
2025-09-01
DOI
10.5594/JMI.2025/MPAJ5620
ISSN
Print: 1545-0279 | Electronic: 2160-2492
Link
https://doi.org/10.5594/JMI.2025/MPAJ5620
Author(s)
Boris Kauffmann
Richard Lhermitte
Cristiano Akamine
Gustavo de Melo Valeira
Keyword(s)
ATSC 3.0, Cloud, STLTP, SRT, RIST, AWS
Copyright
© 2025 SMPTE
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Boris Kauffmann, Richard Lhermitte, Cristiano Akamine, and Gustavo de Melo Valeira; Using ATSC 3.0 with the Cloud, MIJ 2025, Volume 134, Number 5 (pp. 59 to 66); SMPTE, 2025. Available at https://doi.org/10.5594/JMI.2025/MPAJ5620
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Boris Kauffmann, Richard Lhermitte, Cristiano Akamine, and Gustavo de Melo Valeira; Using ATSC 3.0 with the Cloud, MIJ 2025, Volume 134, Number 5 (pp. 59 to 66); SMPTE, 2025. Available at https://doi.org/10.5594/JMI.2025/MPAJ5620

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Boris Kauffmann, Richard Lhermitte, Cristiano Akamine, and Gustavo de Melo Valeira; Using ATSC 3.0 with the Cloud, MIJ 2025, Volume 134, Number 5 (pp. 59 to 66); SMPTE, 2025. Available at https://doi.org/10.5594/JMI.2025/MPAJ5620
Snippet:
<span class="citation">Boris Kauffmann, Richard Lhermitte, Cristiano Akamine, and Gustavo de Melo Valeira; <cite>Using ATSC 3.0 with the Cloud</cite>, MIJ 2025, Volume 134, Number 5 (pp. 59 to 66); SMPTE, 2025. Available at <a href="https://doi.org/10.5594/JMI.2025/MPAJ5620" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2025/MPAJ5620</a></span>

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Boris Kauffmann, Richard Lhermitte, Cristiano Akamine, and Gustavo de Melo Valeira; Using ATSC 3.0 with the Cloud, MIJ 2025, Volume 134, Number 5 (pp. 59 to 66); SMPTE, 2025
doi: 10.5594/JMI.2025/MPAJ5620
url: https://doi.org/10.5594/JMI.2025/MPAJ5620
Snippet:
<li>
Boris Kauffmann, Richard Lhermitte, Cristiano Akamine, and Gustavo de Melo Valeira; <cite id="bib-10-5594-jmi-2025-mpaj5620">Using ATSC 3.0 with the Cloud</cite>, MIJ 2025, Volume 134, Number 5 (pp. 59 to 66); SMPTE, 2025
<span class="doi">10.5594/JMI.2025/MPAJ5620</span>
</li>