Holistic Network Virtualization and Pervasive Network Intelligence for 6G
Xuemin (Sherman) Shen, Jie Gao, Wen Wu, Mushu Li, Conghao Zhou, and, Weihua Zhuang

TL;DR
This paper proposes a novel 6G network architecture integrating holistic virtualization and pervasive AI to enhance flexibility, scalability, and intelligence, aiming to inspire future research and development in 6G network design.
Contribution
It introduces a new conceptual architecture for 6G networks combining virtualization and AI, emphasizing their interplay to improve network capabilities.
Findings
The architecture enables interplay between digital twin and network slicing.
It facilitates model-driven and data-driven network management.
It enhances flexibility, scalability, and intelligence in 6G networks.
Abstract
In this tutorial paper, we look into the evolution and prospect of network architecture and propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed architecture has two key elements, i.e., holistic network virtualization and pervasive artificial intelligence (AI). The holistic network virtualization consists of network slicing and digital twin, from the aspects of service provision and service demand, respectively, to incorporate service-centric and user-centric networking. The pervasive network intelligence integrates AI into future networks from the perspectives of networking for AI and AI for networking, respectively. Building on holistic network virtualization and pervasive network intelligence, the proposed architecture can facilitate three types of interplay, i.e., the interplay between digital twin and network slicing paradigms, between…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSoftware-Defined Networks and 5G · Advanced Computing and Algorithms · IoT and Edge/Fog Computing
Methodstravel james
