Adaptive Network Coding: Achieving a Reliability-Latency Tradeoff for 5G and 6G Systems

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

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

OriginalspracheEnglisch
Titel2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Proceedings
Redakteure/-innenFrank H.P. Fitzek, Larry Horner, Molka Gharbaoui, Giang Nguyen, Rentao Gu, Tobias Meuser
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten193-196
Seitenumfang4
ISBN (elektronisch)9798350302547
PublikationsstatusVeröffentlicht - 2023
Peer-Review-StatusJa

Konferenz

Titel2023 IEEE Conference on Network Function Virtualization and Software Defined Networks
KurztitelIEEE NFV-SDN 2023
Veranstaltungsnummer9
Dauer7 - 9 November 2023
Webseite
BekanntheitsgradInternationale Veranstaltung
OrtTU Dresden
StadtDresden
LandDeutschland

Externe IDs

ORCID /0000-0001-7008-1537/work/158767452
ORCID /0000-0001-8469-9573/work/161891099

Schlagworte

Schlagwörter

  • 6G System, Cloud-native 5G, Network Coding, URLLC