20 papers
Joint Visible Light and RF Backscatter Communications for Ambient IoT Network: Fundamentals, Applications, and Opportunities
Boxuan Xie, Yifan Zhang, Kalle Koskinen +6
The rapid growth of the Internet of Things (IoT) devices in the sixth generation (6G) wireless networks raises significant sustainability and scalability challenges due to energy c…
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…
Large Language Model (LLM)-enabled Reinforcement Learning for Wireless Network Optimization
Jie Zheng, Ruichen Zhang, Dusit Niyato +5
Enhancing future wireless networks presents a significant challenge for networking systems due to diverse user demands and the emergence of 6G technology. While reinforcement learn…
Towards Edge General Intelligence: Knowledge Distillation for Mobile Agentic AI
Yuxuan Wu, Linghan Ma, Ruichen Zhang +9
Edge General Intelligence (EGI) represents a paradigm shift in mobile edge computing, where intelligent agents operate autonomously in dynamic, resource-constrained environments. H…
Federated Attention: A Distributed Paradigm for Collaborative LLM Inference over Edge Networks
Xiumei Deng, Zehui Xiong, Binbin Chen +3
Large language models (LLMs) are proliferating rapidly at the edge, delivering intelligent capabilities across diverse application scenarios. However, their practical deployment in…
SecDiff: Diffusion-Aided Secure Deep Joint Source-Channel Coding Against Adversarial Attacks
Changyuan Zhao, Jiacheng Wang, Ruichen Zhang +5
Deep joint source-channel coding (JSCC) has emerged as a promising paradigm for semantic communication, delivering significant performance gains over conventional separate coding s…