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
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
GPU-accelerated RAN can achieve up to 8x ROI by leasing surplus compute capacity to AI tenants, offsetting added capital and operational costs.
citing papers explorer
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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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Modeling AI-RAN Economics: A Techno-Economic Framework
GPU-accelerated RAN can achieve up to 8x ROI by leasing surplus compute capacity to AI tenants, offsetting added capital and operational costs.