Yang, Y;
Ma, M;
Wu, H;
Yu, Q;
Zhang, P;
You, X;
Wu, J;
... Shu, H; + view all
(2022)
6G Network AI Architecture for Everyone-Centric Customized Services.
IEEE Network
10.1109/MNET.124.2200241.
(In press).
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Abstract
Mobile communication standards were developed for enhancing transmission and network performance by using more radio resources and improving spectrum and energy efficiency. How to effectively address diverse user requirements and guarantee everyone's Quality of Experience (QoE) remains an open problem. The Sixth Generation (6G) mobile systems will solve this problem by utilizing heterogenous network resources and pervasive intelligence to support everyone-centric customized services anywhere and anytime. In this article, we first coin the concept of Service Requirement Zone (SRZ) on the user side to characterize and visualize the integrated service requirements and preferences of specific tasks of individual users. On the system side, we further introduce the concept of User Satisfaction Ratio (USR) to evaluate the system's overall service ability of satisfying a variety of tasks with different SRZs. Then, we propose a network Artificial Intelligence (AI) architecture with integrated network resources and pervasive AI capabilities for supporting customized services with guaranteed QoEs. Finally, extensive simulations show that the proposed network AI architecture can consistently offer a higher USR performance than the cloud AI and edge AI architectures with respect to different task scheduling algorithms, random service requirements, and dynamic network conditions.
| Type: | Article |
|---|---|
| Title: | 6G Network AI Architecture for Everyone-Centric Customized Services |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/MNET.124.2200241 |
| Publisher version: | https://doi.org/10.1109/MNET.124.2200241 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Artificial intelligence , Task analysis , 6G mobile communication , Quality of experience , Computer architecture , 5G mobile communication , Cloud computing |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10167299 |
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