Problem
Research questions and friction points this paper is trying to address.
Token Service Interface
AI-Native RAN
Generative AI
Embodied AI
Edge Computing
A Token Service Interface for AI-Native RANs
🤖 AI Summary
This study addresses the challenge of highly heterogeneous token flow communication demands in AI-native networks and the absence of a unified interface to coordinate applications, radio access networks (RAN), and edge runtimes. To this end, it introduces the Token Service Interface (TSI), which binds semantic attributes to schedulable token sets by integrating service, temporal, and state semantics. This design enables importance-aware allocation, advance preparation, and state transitions, while formalizing field ownership and admission feedback to optimize the interruption–latency trade-off. Experimental evaluations based on UAV inspection scenarios—featuring decoupled RAN, edge computing, and generative AI inference control loops—demonstrate that TSI effectively ensures timely delivery and significantly reduces service interruptions. Consequently, the proposed approach substantially enhances the network adaptability of AI services.
📝 Abstract
Generative and embodied AI services exchange token streams within continuing inference and control loops. Their communication requirements depend on each token set's purpose, useful timing, and execution context. This article organizes these properties into service, temporal, and stateful semantics and proposes a token service interface (TSI) between applications, radio access networks (RANs), and edge runtimes. TSI binds delivery requirements, readiness forecasts, and execution-state references to each schedulable token set, specifying field ownership, versioned updates, and admission feedback. A drone inspection case study over a decoupled RAN illustrates importance-aware radio allocation, advance preparation for timely delivery, and selective state migration that balances interruption against forwarding delay.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Token Service Interface
AI-Native RAN
Generative AI
Embodied AI
State Migration
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