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

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

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

Original languageEnglish
Title of host publication2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Proceedings
EditorsFrank H.P. Fitzek, Larry Horner, Molka Gharbaoui, Giang Nguyen, Rentao Gu, Tobias Meuser
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages193-196
Number of pages4
ISBN (electronic)9798350302547
Publication statusPublished - 2023
Peer-reviewedYes

Conference

Title2023 IEEE Conference on Network Function Virtualization and Software Defined Networks
Abbreviated titleIEEE NFV-SDN 2023
Conference number9
Duration7 - 9 November 2023
Website
Degree of recognitionInternational event
LocationTU Dresden
CityDresden
CountryGermany

External IDs

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

Keywords

Keywords

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