A Reinforcement Learning Framework for Knowledge-Defined Networking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10253555" target="_blank" >RIV/61989100:27240/23:10253555 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/23:10253555
Result on the web
<a href="https://ieeexplore.ieee.org/document/10333287" target="_blank" >https://ieeexplore.ieee.org/document/10333287</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICUMT61075.2023.10333287" target="_blank" >10.1109/ICUMT61075.2023.10333287</a>
Alternative languages
Result language
angličtina
Original language name
A Reinforcement Learning Framework for Knowledge-Defined Networking
Original language description
The deployment of 6G networks is expected to bring fundamental improvements to network architectures and a focus on incorporating artificial intelligence (AI) technologies. The paper explores the concept of knowledge-defined networking (KDN), where the intelligence of the network resides in the knowledge plane (KP), resulting from a combination of software-defined networking (SDN), network telemetry, and machine learning (ML) algorithms. The paper highlights the use of programming protocol-independent packet processors (P4), a technology which enables SDN networks, and emphasizes the importance of in-band network telemetry (INT) for providing real-time network information. The paper also draws a connection between P4-SDN network architecture and reinforcement Learning (RL), exhibiting how network components and existing techniques can be mapped onto RL principles. The potential of AI-driven network orchestration and the interpretation of networks as AI-based systems are also discussed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
ISBN
979-8-3503-9328-6
ISSN
2157-0221
e-ISSN
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Number of pages
5
Pages from-to
152-156
Publisher name
IEEE
Place of publication
Piscataway
Event location
Ghent
Event date
Oct 30, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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