Multi-agent LLM framework delivers Optimization-as-a-Service for dynamic PRB allocation in RANs via closed-loop agents and one-shot reflection distillation achieving near-optimal results with low latency.
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Optimization-as-a-Service via Multi-Agent Large Language Model for Radio Access Networks
Multi-agent LLM framework delivers Optimization-as-a-Service for dynamic PRB allocation in RANs via closed-loop agents and one-shot reflection distillation achieving near-optimal results with low latency.