most citedFrom Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

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cs.NI2026

Resource-Efficient Semantic Communication for Heterogeneous Agentic Teams

Farhad Rezazadeh, Hatim Chergui, Lingjia Liu +1

Teams of autonomous agents, including large language model (LLM) agents, must coordinate over scarce and unreliable wireless links. We propose goal-oriented semantic communication…

cs.NI2026

Large Language Models as Bidding Agents in Repeated HetNet Auction

Ismail Lotfi, Ali Ghrayeb, Samson Lasaulce +1

This paper investigates the integration of large language models (LLMs) as reasoning agents in repeated spectrum auctions within heterogeneous networks (HetNets). While auction-bas…

cs.NI2026

Trajectory-Aware Multi-RIS Activation and Configuration: A Riemannian Diffusion Method

Kaining Wang, Bo Yang, Yusheng Lei +8

Reconfigurable intelligent surfaces (RISs) offer a low-cost, energy-efficient means for enhancing wireless coverage. Yet, their inherently programmable reflections may unintentiona…

cs.NI2026

Interference Propagation Analysis for Large-Scale Multi-RIS-Empowered Wireless Communications:An Epidemiological Perspective

Kaining Wang, Xueyao Zhang, Bo Yang +8

Reconfigurable intelligent surfaces (RISs) have gained significant attention in recent years due to their ability to control the reflection of radio-frequency signals and reshape t…

cs.NI2025

Graph-Aware Temporal Encoder Based Service Migration and Resource Allocation in Satellite Networks

Haotong Wang, Jun Du, Chunxiao Jiang +3

The rapid expansion of latency-sensitive applications has sparked renewed interest in deploying edge computing capabilities aboard satellite constellations, aiming to achieve truly…

cs.NI2025

3D Gaussian Radiation Field Modeling for Integrated RIS-FAS Systems: Analysis and Optimization

Kaining Wang, Bo Yang, Yusheng Lei +7

The integration of reconfigurable intelligent surfaces (RIS) and fluid antenna systems (FAS) has attracted considerable attention due to its tremendous potential in enhancing wirel…