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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
