collaborators

26 papers

cs.DC2026

DWM-RO: Decentralized World Models with Reasoning Offloading for SWIPT-enabled Satellite-Terrestrial HetNets

Guangyuan Liu, Yinqiu Liu, Ruichen Zhang +5

Wireless networks are undergoing a paradigm shift toward massive connectivity with energy-efficient operation, driving the integration of satellite-terrestrial architectures with s…

cs.NI2026

Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing

Ruichen Zhang, Xiaofeng Luo, Jiayi He +3

This paper investigates compact large language model (LLM) deployment and world-model-assisted inference offloading in mobile edge computing (MEC) networks. We first propose an edg…

cs.NI2026

Efficient Asynchronous Federated Evaluation with Strategy Similarity Awareness for Intent-Based Networking in Industrial Internet of Things

Shaowen Qin, Jianfeng Zeng, Haodong Guo +3

Intent-Based Networking (IBN) offers a promising paradigm for intelligent and automated network control in Industrial Internet of Things (IIoT) environments by translating high-lev…

cs.IT2026

Split and Aggregation Learning for Foundation Models Over Mobile Embodied AI Network (MEAN): A Comprehensive Survey

Qianzhou Chen, Siqi Sun, Minrui Xu +6

The rapid advancements in foundation models and sixth-generation (6G) wireless communication systems necessitate the development of efficient, scalable, and privacy-preserving mach…

cs.AI2026

Hybrid Stackelberg Game and Diffusion-based Auction for Two-tier Agentic AI Task Offloading in Internet of Agents

Yue Zhong, Yongju Tong, Jiawen Kang +4

The Internet of Agents (IoA) is rapidly gaining prominence as a foundational architecture for interconnected intelligent systems, designed to facilitate seamless discovery, communi…

cs.AI2026

From Digital Twins to World Models:Opportunities, Challenges, and Applications for Mobile Edge General Intelligence

Jie Zheng, Dusit Niyato, Changyuan Zhao +2

The rapid evolution toward 6G and beyond communication systems is accelerating the convergence of digital twins and world models at the network edge. Traditional digital twins prov…