Projects per year
Abstract
The DVB-S2/RCS2 standards for satellite transmission enable the configuration of data network architectures for the transport of IP traffic, catering to both applications that require Quality-of-Service (QoS) guarantees and those that do not, such as best-effort traffic. The standard provides certain guidelines for implementation, thus necessitating the presentation of a proposal for the adaptation level of the IP protocol to satellite signaling and the frame structure of the DVB-S2 standard. This work presents the development of an adaptation level to differentiate the traffic of IP applications based on their quality guarantee requirements and how this translates into the allocation of time slots in the satellite superframe. Finally, simulation results are presented for the satellite resource allocation for QoS traffic.
| Original language | English |
|---|---|
| Title of host publication | ICT for Intelligent Systems - Proceedings of ICTIS 2024 |
| Editors | Jyoti Choudrie, Eva Tuba, Thinagaran Perumal, Amit Joshi |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 77-85 |
| Number of pages | 9 |
| ISBN (Print) | 9789819757985 |
| DOIs | |
| State | Published - 2024 |
| Event | 8th International Conference on Information and Communication Technology for Intelligent Systems, ICTIS 2024 - Las Vegas, United States Duration: 22 May 2024 → 23 May 2024 |
Publication series
| Name | Smart Innovation, Systems and Technologies |
|---|---|
| Volume | 403 SIST |
| ISSN (Print) | 2190-3018 |
| ISSN (Electronic) | 2190-3026 |
Conference
| Conference | 8th International Conference on Information and Communication Technology for Intelligent Systems, ICTIS 2024 |
|---|---|
| Country/Territory | United States |
| City | Las Vegas |
| Period | 22/05/24 → 23/05/24 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Keywords
- Best effort
- DVB-S2/RCS2
- IP adaptation level
- QoS
Projects
- 1 Finished
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A MACHINE LEARNING APPROACH FOR ARCHITECTING QOS-ENABLED NETWORK SERVICES FOR RURAL ENVIRONMENTS
Chafla Altamirano, G. J. (PI), Hassan, H. (External), Drira, K. (External) & Chafla Altamirano, J. F. (Di)
1/01/21 → 31/10/24
Project: Research project
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