Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms
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Jianjun Wu, Rongpeng Li, Xueli An, Chenghui Peng, Zhe Liu, Jon Crowcroft, Honggang Zhang
2021
Abstract
The mobile communication system has transformed to be the fundamental
infrastructure to support digital demands from all industry sectors, and 6G is
envisioned to go far beyond the communication-only purpose. There is coming to
a consensus that 6G will treat Artificial Intelligence (AI) as the cornerstone
and has a potential capability to provide "intelligence inclusion", which
implies to enable the access of AI services at anytime and anywhere by anyone.
Apparently, the intelligent inclusion vision produces far-reaching influence on
the corresponding network architecture design in 6G and deserves a clean-slate
rethink. In this article, we propose an end-to-end system architecture design
scope for 6G, and talk about the necessity to incorporate an independent data
plane and a novel intelligent plane with particular emphasis on end-to-end AI
workflow orchestration, management and operation. We also highlight the
advantages to provision converged connectivity and computing services at the
network function plane. Benefiting from these approaches, we believe that 6G
will turn to an "everything as a service" (XaaS) platform with significantly
enhanced business merits.
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