Adaptive Network Coding: Achieving a Reliability-Latency Tradeoff for 5G and 6G Systems
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
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 language | English |
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Title of host publication | 2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Proceedings |
Editors | Frank H.P. Fitzek, Larry Horner, Molka Gharbaoui, Giang Nguyen, Rentao Gu, Tobias Meuser |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 193-196 |
Number of pages | 4 |
ISBN (electronic) | 9798350302547 |
Publication status | Published - 2023 |
Peer-reviewed | Yes |
Conference
Title | 2023 IEEE Conference on Network Function Virtualization and Software Defined Networks |
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Abbreviated title | IEEE NFV-SDN 2023 |
Conference number | 9 |
Duration | 7 - 9 November 2023 |
Website | |
Degree of recognition | International event |
Location | TU Dresden |
City | Dresden |
Country | Germany |
External IDs
ORCID | /0000-0001-7008-1537/work/158767452 |
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ORCID | /0000-0001-8469-9573/work/161891099 |
Keywords
ASJC Scopus subject areas
Keywords
- 6G System, Cloud-native 5G, Network Coding, URLLC