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Intent-based deployment for robot applications in 5G-enabled non-public networks
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Authors: Renxi Qiu, Dayou Li, Adrián Lendínez Ibáñez, Zhao Xu, Rafa López Tarazón
Status: Final
Date of publication: 15 March 2023
Published in: ITU Journal on Future and Evolving Technologies, Volume 4 (2023), Issue 1, Pages 209-220
Article DOI : https://doi.org/10.52953/AYMI1991
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Abstract:
Cloud and edge computing, distributed AI, and most recently 5G/6G communications are coming together and changing the way we collaborate, connect and interact. A new generation of AI-powered robots are also expected to be facilitated by these digital technological breakthroughs. Robots are supposed to tackle unknown situations and adapt in the long term by collaborating, connecting and interacting with the digital world. Such applications generate versatile, perpetuated and rapidly changing transmission demands to the network. Traditional network resource management is insufficient in supporting such traffic to meet the QoS. In this paper, we go a step further, in addition to the effort on the network side for traffic engineering; we also work on the application side to shape the traffic within non-public networks. We present an initial development for the proposed intent-based deployment for robotic applications. |
Keywords: 5G vertical applications, intent-based development, robot deployment, robot learning
Rights: © International Telecommunication Union, available under the CC BY-NC-ND 3.0 IGO license.
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