Adaptive Network Coding: Achieving a Reliability-Latency Tradeoff for 5G and 6G Systems
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
To maintain consistent communication in noisy environments, conventional mobile communication systems employ retransmissions and robust error correction mechanisms as a strategy to reduce data packet loss. However, as the channel conditions deteriorate, the frequency of retransmissions grows substantially, resulting in notably increased end-to-end (E2E) delays. We propose integrating Network Coding into cloud-native 5G Systems by utilizing the In-Network Computation (INC) infrastructure for swift, low-latency execution, and adaptable, intelligent positioning. We design a flexible network coding model that can dynamically select the appropriate network coding functionality depending on the 5G network condition and specific application requirements.
Details
Originalsprache | Englisch |
---|---|
Titel | 2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Proceedings |
Redakteure/-innen | Frank H.P. Fitzek, Larry Horner, Molka Gharbaoui, Giang Nguyen, Rentao Gu, Tobias Meuser |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
Seiten | 193-196 |
Seitenumfang | 4 |
ISBN (elektronisch) | 9798350302547 |
Publikationsstatus | Veröffentlicht - 2023 |
Peer-Review-Status | Ja |
Konferenz
Titel | 2023 IEEE Conference on Network Function Virtualization and Software Defined Networks |
---|---|
Kurztitel | IEEE NFV-SDN 2023 |
Veranstaltungsnummer | 9 |
Dauer | 7 - 9 November 2023 |
Webseite | |
Bekanntheitsgrad | Internationale Veranstaltung |
Ort | TU Dresden |
Stadt | Dresden |
Land | Deutschland |
Externe IDs
ORCID | /0000-0001-7008-1537/work/158767452 |
---|---|
ORCID | /0000-0001-8469-9573/work/161891099 |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- 6G System, Cloud-native 5G, Network Coding, URLLC