Agents in the Scene: An Agentic Framework for Resource-Efficient Site-Specific Base Station Deployment

arXiv:2609.18027 · eess.SY, cs.SY · Submitted 2026-09-16 · Read on arXiv

eess.SY, cs.SY

Submitted: 2026-09-16

Updated: 2026-09-16

Terminology

Action Space — 8× in this paper · explained in 1 episode
Agentic Framework — 5× in this paper · explained in 6 episodes
Reinforcement Learning — 5× in this paper · explained in 4 episodes
Ablation — 4× in this paper · explained in 1 episode
Fidelity — 3× in this paper · explained in 2 episodes
Adaptation — 2× in this paper · explained in 1 episode
Digital Twin — 2× in this paper · explained in 4 episodes
Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
Reward Function — 2× in this paper · explained in 2 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Actor — 1× in this paper · explained in 3 episodes
Agentic AI — 1× in this paper · explained in 1 episode
Agentic Optimization — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Closed-Loop Optimization — 1× in this paper · explained in 2 episodes
Combinatorial Optimization — 1× in this paper · explained in 2 episodes
Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
Prompt Engineering — 1× in this paper · explained in 4 episodes
Proximal Policy Optimization (PPO) — 1× in this paper · explained in 4 episodes
Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
Representation Learning — 1× in this paper · explained in 2 episodes

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