An LLM planner for task decomposition and a decomposition-aware scheduler in multi-user WiFi networks reduce average latency by 20% and improve overall reward by 80% versus local-only and nearest-edge baselines.
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities,
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A Task Decomposition and Planning Framework for Efficient LLM Inference in AI-Enabled WiFi-Offload Networks
An LLM planner for task decomposition and a decomposition-aware scheduler in multi-user WiFi networks reduce average latency by 20% and improve overall reward by 80% versus local-only and nearest-edge baselines.