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 |
|---|---|
| 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 (IEEE) |
| 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 |
|---|---|
| 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 |
|---|---|
| ORCID | /0000-0001-8469-9573/work/161891099 |
Keywords
ASJC Scopus subject areas
Keywords
- 6G System, Cloud-native 5G, Network Coding, URLLC