6G network AI architecture for everyone-centric customized services
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- dc.contributor.author Yang, Yang
- dc.contributor.author Dustdar, Schahram
- dc.contributor.author Shu, Hongfeng
- dc.date.accessioned 2023-07-26T07:14:12Z
- dc.date.issued 2023
- dc.description.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.
- dc.format.mimetype application/pdf
- dc.identifier.citation Yang Y, Ma M, Wu H, Yu Q, Zhang P, You X, et al. 6G network AI architecture for everyone-centric customized services. IEEE Netw. 2023;37(5)71-80. DOI: 10.1109/MNET.124.2200241
- dc.identifier.doi http://dx.doi.org/10.1109/MNET.124.2200241
- dc.identifier.issn 0890-8044
- dc.identifier.uri http://hdl.handle.net/10230/57670
- dc.language.iso eng
- dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
- dc.relation.ispartof IEEE Network. 2023;37(5)71-80.
- dc.rights © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://dx.doi.org/10.1109/MNET.124.2200241
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Artificial intelligence
- dc.subject.keyword Task analysis
- dc.subject.keyword 6G mobile communication
- dc.subject.keyword Quality of experience
- dc.subject.keyword Computer architecture
- dc.subject.keyword 5G mobile communication
- dc.subject.keyword Cloud computing
- dc.title 6G network AI architecture for everyone-centric customized services
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/acceptedVersion