Operator-Controlled 6G: From Connectivity Infrastructure to Guaranteed Digital Services
- URL: http://arxiv.org/abs/2605.15553v2
- Date: Mon, 18 May 2026 03:40:24 GMT
- Title: Operator-Controlled 6G: From Connectivity Infrastructure to Guaranteed Digital Services
- Abstract summary: This paper argues that 6G must reverse this trajectory by reordering operator priorities.<n>The 6G Control Compact defines a three-layer ownership taxonomy that allocates architectural sovereignty according to strategic value.<n>The Guarantee Economy defines a five-tier, outcome-priced commercial model that converts operator control into enforceable service-level objectives.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Sixth-generation mobile networks (6G) are approaching a structural inflection point. Five generations of vendor-led architectures have left operators procuring and operating networks they do not own, on platforms they cannot modify, with AI layers they cannot audit. This paper argues that 6G must reverse this trajectory by reordering operator priorities: Control First, Customer First, Business First, Operations First, and Technology Last. Technology should serve operator control, customer outcomes, monetizable guarantees, and software-driven operations, not dictate them.Two contributions operationalize this thesis. The 6G Control Compact defines a three-layer ownership taxonomy--own, federate, and consume--that allocates architectural sovereignty according to strategic value. The Guarantee Economy defines a five-tier, outcome-priced commercial model that converts operator control into enforceable service-level objectives. The framework is grounded in operational evidence from Rakuten Mobile, the world's first national-scale, fully cloud-native, fully Open RAN deployment, which reached full-year EBITDA profitability in FY2025. It is aligned with the ITU-R IMT-2030 framework, 3GPP 6G use cases and service requirements, NGMN recommendations, ETSI standards, O-RAN Alliance and AI-RAN Alliance specifications, IOWN Global Forum sustainability metrics, Linux Foundation initiatives, and leading industry and academic programs. A three-phase roadmap covering 2025-2027, 2027-2029, and 2029-2032 and beyond, together with seven stakeholder-specific calls to action, translates the architecture into industry commitments. The central claim is that Rakuten Mobile's deployment demonstrates the feasibility of operator-controlled 6G. Decisions made during 2026-2028 will determine whether 6G becomes a platform for guaranteed digital services or another vendor-dependent infrastructure cycle.
Related papers
- Orchard: An Open-Source Agentic Modeling Framework [124.68499958175111]
We present Orchard, an open-source framework for scalable agentic modeling.<n>At its core is Orchard Env, a lightweight environment service providing reusable primitives for sandbox lifecycle management.<n>On top of Orchard Env, we build three agentic modeling recipes.
arXiv Detail & Related papers (2026-05-14T16:35:12Z) - Autonomous Edge-Deployed AI Agents for Electric Vehicle Charging Infrastructure Management [0.0]
Cloud-centric architectures cannot achieve the latency, reliability, and bandwidth characteristics required for autonomous operation.<n>We present Auralink SDC (Software-Defined Charging), an architecture deploying domain-specialized AI agents at the network edge for autonomous charging infrastructure management.
arXiv Detail & Related papers (2026-02-24T16:25:21Z) - Meta-Learning-Based Handover Management in NextG O-RAN [47.23997854845925]
We propose CONTRA, a framework that jointly optimize THOs and CHOs within the O-RAN architecture.<n>ConTRA is specifically designed for near-real-time deployment as an O-RAN xApp runtime.<n>We show that CONTRA improves user throughput and reduces both THO and CHO switching costs.
arXiv Detail & Related papers (2025-12-26T13:01:46Z) - Towards a Science of Scaling Agent Systems [79.64446272302287]
We formalize a definition for agent evaluation and characterize scaling laws as the interplay between agent quantity, coordination structure, modelic, and task properties.<n>We derive a predictive model using coordination metrics, that cross-validated R2=0, enabling prediction on unseen task domains.<n>We identify three effects: (1) a tool-coordination trade-off: under fixed computational budgets, tool-heavy tasks suffer disproportionately from multi-agent overhead, and (2) a capability saturation: coordination yields diminishing or negative returns once single-agent baselines exceed 45%.
arXiv Detail & Related papers (2025-12-09T06:52:21Z) - AI/ML Life Cycle Management for Interoperable AI Native RAN [50.61227317567369]
Artificial intelligence (AI) and machine learning (ML) models are rapidly permeating the 5G Radio Access Network (RAN)<n>These developments lay the foundation for AI-native transceivers as a key enabler for 6G.
arXiv Detail & Related papers (2025-07-24T16:04:59Z) - Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization [21.71207441688328]
6G shall incorporate AI from the onset to address its complexity and support ubiquitous AI applications.<n>This paper explores the design and standardization principles of AI-Native radio access networks (RAN) for 6G.<n>We present its three essential capabilities to shed some light on the standardization direction; namely, AI-driven RAN processing/optimization/automation, reliable AI lifecycle management (LCM) and AI-as-a-Service (AI-as-a-Service)<n>For validation, a large-scale field trial with over 5000 5G-A base stations have been built and delivered significant improvements
arXiv Detail & Related papers (2025-07-11T08:21:08Z) - Intelligent Mobile AI-Generated Content Services via Interactive Prompt Engineering and Dynamic Service Provisioning [55.641299901038316]
AI-generated content can organize collaborative Mobile AIGC Service Providers (MASPs) at network edges to provide ubiquitous and customized content for resource-constrained users.<n>Such a paradigm faces two significant challenges: 1) raw prompts often lead to poor generation quality due to users' lack of experience with specific AIGC models, and 2) static service provisioning fails to efficiently utilize computational and communication resources.<n>We develop an interactive prompt engineering mechanism that leverages a Large Language Model (LLM) to generate customized prompt corpora and employs Inverse Reinforcement Learning (IRL) for policy imitation.
arXiv Detail & Related papers (2025-02-17T03:05:20Z) - Establishing Trust in the Beyond-5G Core Network using Trusted Execution Environments [4.235733335401408]
We review the security implications introduced in B5G networks, and the security mechanisms that are supported by the 5G standard.
We propose a vertical extension of Zero Trust, namely, Zero Trust Execution, to model untrusted execution environments.
We provide an analysis on how to establish trust in Beyond-5G network architectures using Trusted Execution Environments.
arXiv Detail & Related papers (2024-05-20T17:02:18Z) - Toward 6G Native-AI Network: Foundation Model based Cloud-Edge-End Collaboration Framework [55.73948386625618]
We analyze the challenges of achieving 6G native AI from perspectives of data, AI models, and operational paradigm.<n>We propose a 6G native AI framework based on foundation models, provide an integration method for the expert knowledge, present the customization for two kinds of PFM, and outline a novel operational paradigm for the native AI framework.
arXiv Detail & Related papers (2023-10-26T15:19:40Z) - Zero-touch realization of Pervasive Artificial Intelligence-as-a-service
in 6G networks [8.500820283596774]
We introduce a novel platform architecture to deploy a zero-touch PAI-as-a-Service (PAI) in 6G networks supported by a blockchain-based smart system.
We present a proof of concept where we evaluate the ability of our proposed system to self-optimize and self-adapt to the dynamics of 6G networks.
arXiv Detail & Related papers (2023-07-21T10:02:24Z) - Supportive 5G Infrastructure Policies are Essential for Universal 6G:
Assessment using an Open-source Techno-economic Simulation Model utilizing
Remote Sensing [0.0]
We are still far from providing universal and affordable broadband connectivity, despite this being a key part of the Sustainable Development Goals (Target 9.c)
This paper undertakes quantitative assessment demonstrating how current 5G policies affect universal broadband.
We find that by eliminating the spectrum licensing costs, 100% 5G population coverage can viably be achieved using fiber backhaul.
arXiv Detail & Related papers (2021-02-16T11:15:46Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.