13 citations · 20 across the 31 of their papers we have counts for
9 papers · 1 filter
Optimizing NetGPT via Routing-Based Synergy and Reinforcement Learning
Yuxuan Chen, Rongpeng Li, Xianfu Chen +4
Large language model (LLM) agents at the network edge offer low-latency execution for routine queries. In contrast, complex requests often require the superior capability of cloud…
LLM-Empowered Agentic MAC Protocols: A Dynamic Stackelberg Game Approach
Renxuan Tan, Rongpeng Li, Fei Wang +4
Medium Access Control (MAC) protocols, essential for wireless networks, are typically manually configured. While deep reinforcement learning (DRL)-based protocols enhance task-spec…
RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms
Ziyao Wang, Rongpeng Li, Sizhao Li +4
Intelligent control of Unmanned Aerial Vehicles (UAVs) swarms has emerged as a critical research focus, and it typically requires the swarm to navigate effectively while avoiding o…
AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air
Shiyi Yang, Xiaoxue Yu, Rongpeng Li +3
Operating Large Language Models (LLMs) on edge devices is increasingly challenged by limited communication bandwidth and strained computational and memory costs. Thus, cloud-assist…
Decentralized Consensus Inference-based Hierarchical Reinforcement Learning for Multi-Constrained UAV Pursuit-Evasion Game
Xiang Yuming, Li Sizhao, Li Rongpeng +2
Multiple quadrotor unmanned aerial vehicle (UAV) systems have garnered widespread research interest and fostered tremendous interesting applications, especially in multi-constraine…
Topology-Assisted Spatio-Temporal Pattern Disentangling for Scalable MARL in Large-scale Autonomous Traffic Control
Rongpeng Li, Jianhang Zhu, Jiahao Huang +2
Intelligent Transportation Systems (ITSs) have emerged as a promising solution towards ameliorating urban traffic congestion, with Traffic Signal Control (TSC) identified as a crit…
Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning
Chongyang Tan, Ruoqi Wen, Rongpeng Li +3
Federated Learning (FL) enables distributed model training across edge devices in a privacy-friendly manner. However, its efficiency heavily depends on effective device selection a…
Reinforcement Learning-Based Heterogeneous Multi-Task Optimization in Semantic Broadcast Communications
Zhilin Lu, Rongpeng Li, Zhifeng Zhao +1
Semantic broadcast communications (Semantic BC) for image transmission have achieved significant performance gains for single-task scenarios. Nevertheless, extending these methods…
Select2Drive: Pragmatic Communications for Real-Time Collaborative Autonomous Driving
Jiahao Huang, Jianhang Zhu, Rongpeng Li +2
Vehicle-to-everything communications-assisted autonomous driving has witnessed remarkable advancements in recent years, with pragmatic communications (PragComm) emerging as a promi…