A Novel 6G Conversational Orchestration Framework for Enhancing Performance and Resource Utilization in Autonomous Vehicle Networks
A vision of 6G aims to automate versatile services by eliminating the complexity of human effort for Industry 5.0 applications. This results in an intelligent environment with cognitive and collaborative capabilities of AI conversational orchestration that enable a variety of applications across sma...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/17/7366 |
| _version_ | 1797581864006844416 |
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| author | Sonia Shahzadi Nauman Riaz Chaudhry Muddesar Iqbal |
| author_facet | Sonia Shahzadi Nauman Riaz Chaudhry Muddesar Iqbal |
| author_sort | Sonia Shahzadi |
| collection | DOAJ |
| description | A vision of 6G aims to automate versatile services by eliminating the complexity of human effort for Industry 5.0 applications. This results in an intelligent environment with cognitive and collaborative capabilities of AI conversational orchestration that enable a variety of applications across smart Autonomous Vehicle (AV) networks. In this article, an innovative framework for AI conversational orchestration is proposed by enabling on-the-fly virtual infrastructure service orchestration for Anything-as-a-Service (XaaS) to automate a network service paradigm. The proposed framework will potentially contribute to the growth of 6G conversational orchestration by enabling on-the-fly automation of cloud and network services. The orchestration aspect of the 6G vision is not limited to cognitive collaborative communications, but also extends to context-aware personalized infrastructure for 6G automation. The experimental results of the implemented proof-of-concept framework are presented. These experiments not only affirm the technical capabilities of this framework, but also push into several Industry 5.0 applications. |
| first_indexed | 2024-03-10T23:13:39Z |
| format | Article |
| id | doaj.art-a8690f1d883845a4adabf39888d6bb0d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T23:13:39Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a8690f1d883845a4adabf39888d6bb0d2023-11-19T08:48:55ZengMDPI AGSensors1424-82202023-08-012317736610.3390/s23177366A Novel 6G Conversational Orchestration Framework for Enhancing Performance and Resource Utilization in Autonomous Vehicle NetworksSonia Shahzadi0Nauman Riaz Chaudhry1Muddesar Iqbal2Department of Computer Science, University of Gujrat, Gujrat 50700, PakistanDepartment of Computer Science, University of Gujrat, Gujrat 50700, PakistanRenewable Energy Laboratory, Communications and Networks Engineering Department, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi ArabiaA vision of 6G aims to automate versatile services by eliminating the complexity of human effort for Industry 5.0 applications. This results in an intelligent environment with cognitive and collaborative capabilities of AI conversational orchestration that enable a variety of applications across smart Autonomous Vehicle (AV) networks. In this article, an innovative framework for AI conversational orchestration is proposed by enabling on-the-fly virtual infrastructure service orchestration for Anything-as-a-Service (XaaS) to automate a network service paradigm. The proposed framework will potentially contribute to the growth of 6G conversational orchestration by enabling on-the-fly automation of cloud and network services. The orchestration aspect of the 6G vision is not limited to cognitive collaborative communications, but also extends to context-aware personalized infrastructure for 6G automation. The experimental results of the implemented proof-of-concept framework are presented. These experiments not only affirm the technical capabilities of this framework, but also push into several Industry 5.0 applications.https://www.mdpi.com/1424-8220/23/17/73666GMECXaaSQoSLXCNLU |
| spellingShingle | Sonia Shahzadi Nauman Riaz Chaudhry Muddesar Iqbal A Novel 6G Conversational Orchestration Framework for Enhancing Performance and Resource Utilization in Autonomous Vehicle Networks Sensors 6G MEC XaaS QoS LXC NLU |
| title | A Novel 6G Conversational Orchestration Framework for Enhancing Performance and Resource Utilization in Autonomous Vehicle Networks |
| title_full | A Novel 6G Conversational Orchestration Framework for Enhancing Performance and Resource Utilization in Autonomous Vehicle Networks |
| title_fullStr | A Novel 6G Conversational Orchestration Framework for Enhancing Performance and Resource Utilization in Autonomous Vehicle Networks |
| title_full_unstemmed | A Novel 6G Conversational Orchestration Framework for Enhancing Performance and Resource Utilization in Autonomous Vehicle Networks |
| title_short | A Novel 6G Conversational Orchestration Framework for Enhancing Performance and Resource Utilization in Autonomous Vehicle Networks |
| title_sort | novel 6g conversational orchestration framework for enhancing performance and resource utilization in autonomous vehicle networks |
| topic | 6G MEC XaaS QoS LXC NLU |
| url | https://www.mdpi.com/1424-8220/23/17/7366 |
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