Usecase Driven Evolution of Network Coding Parameters Enabling Tactile Internet Applications
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
Present-day and future network protocols that include and implement Forward Error Correction are configurable by internal parameters, typically incorporating expert knowledge to set up.We introduce a framework to systematically, objectively and efficiently determine parameters for Random Linear Network Codes (RLNC). Our approach uses an unbiased, consistent simulator in an optimization loop and utilizes a customizable, powerful and extendable parametric loss function. This allows to tailor existing protocols to various use cases, including ultra reliable, low latency communication (URLLC) codes. Successful configurations exploring the search space are under evolutionary pressure and written into a database for instant retrieval. We demonstrate three examples, Full Vector Coding, tail RLNC, and PACE with different focus for each.
Details
Originalsprache | Englisch |
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Titel | 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
ISBN (elektronisch) | 978-1-7281-5089-5 |
Publikationsstatus | Veröffentlicht - Juni 2020 |
Peer-Review-Status | Ja |
Publikationsreihe
Reihe | IEEE International Conference on Communications |
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Band | 2020-June |
ISSN | 1550-3607 |
Konferenz
Titel | 2020 IEEE International Conference on Communications, ICC 2020 |
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Dauer | 7 - 11 Juni 2020 |
Stadt | Dublin |
Land | Irland |
Externe IDs
Scopus | 85089429831 |
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