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.
The interplay of AI-and- RAN: Dynamic resource allocation for converged 6G platform
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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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Matching-with-Contracts for the AI-RAN Market: AIGC-as-a-Service for Teleoperation
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.
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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.