A mixed stable matching-with-contracts algorithm for AI-RAN operators raises their total utility by at least 56.8% versus benchmarks by jointly optimizing contract menus and user matching in a teleoperation AIGC setting.
Beyond connectivity: An open architecture for AI-RAN convergence in 6G
3 Pith papers cite this work. Polarity classification is still indexing.
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HAF uses an LLM agent and deadline-aware convex allocation to reach 90% SLO fulfillment in AI-RAN, improving AI request fulfillment from 51% to 85.3%.
Techno-economic framework shows that GPU AI-RAN deployments can offset extra costs via AI revenue for up to 8x ROI across scenarios with varying token depreciation, demand, and GPU densities.
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A Techno-Economic Framework for Cost Modeling and Revenue Opportunities in Open and Programmable AI-RAN
Techno-economic framework shows that GPU AI-RAN deployments can offset extra costs via AI revenue for up to 8x ROI across scenarios with varying token depreciation, demand, and GPU densities.