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Intent-Based Multi-Agent Reinforcement Learning Scheduler for RAN Slicing

A radio resource scheduler for RAN slicing that meets per-slice SLA intents and protects high-priority slices under resource scarcity, formulated as an MDP and solved with multi-agent PPO plus transfer learning to generalize across diverse network scenarios and cut training steps.

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XXXXXXXXX, VOL. XX, NO. YY, MONTH ZZZZ 1 Intent-based Radio Scheduler for RAN Slicing: Learning to

This paper proposes an intent-based radio resource scheduler for radio access network (RAN) slicing that distributes limited radio resources across network slices so as to satisfy their service-level…