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Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms

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arxiv 2103.02823 v1 pith:PXYBEHAW submitted 2021-03-04 cs.NI

classification cs.NI
keywords designintelligenceplanesystemarchitectureartificialend-to-endinclusion
verification ladder T0 review T1 audit T2 compute T3 formal
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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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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization

    cs.NI 2025-07 conditional novelty 5.0 of 10

    A large telecom operator proposes a 6G RAN architecture with a centralized AI Node as a Day 1 standard feature, backed by a 5,000-site field trial reporting latency, energy, and diagnostic gains.

  2. ARCADE: A RAN Diagnosis Methodology in a Hybrid AI Environment for 6G Networks

    cs.NI 2025-07 unverdicted novelty 4.0 of 10

    ARCADE is a conceptual methodology for detecting RAN coverage anomalies from sparse RSRP samples, to be hosted on a hybrid eNWDAF 6G architecture; it is not implemented or validated.

  3. LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization

    cs.NI 2026-07 conditional novelty 3.0 of 10

    A tutorial-and-survey that positions LLM-powered agentic AI as a first-class architectural component for 5G/6G network control, management, and standardization.

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