5 papers
Channel Knowledge Map Reconstruction From Sparse Measurements via Pilot-Anchored Layout-Conditioned Fourier Refinement
Zhonghao Jiu, Fan Meng, Yongming Huang +3
Channel knowledge maps (CKMs) enable environment-aware wireless systems by providing location-specific channel knowledge, but long-term environmental variations, such as constructi…
RieIF: Knowledge-Driven Riemannian Information Flow for Robust Spatio-Temporal Graph Signal Prediction in 6G Wireless Networks
Zhonghao Jiu, Yongming Huang, Fan Meng +3
With 6G evolving towards intelligent network autonomy, artificial intelligence (AI)-native operations are becoming pivotal. Wireless networks continuously generate rich and heterog…
Towards 6G Native-AI Edge Networks: A Semantic-Aware and Agentic Intelligence Paradigm
Chenyuan Feng, Anbang Zhang, Geyong Min +3
The evolution toward sixth-generation wireless systems positions intelligence as a native network capability, fundamentally transforming the design of radio access networks (RANs).…
Bayesian Probability Fusion for Multi-AP Collaborative Sensing in Mobile Networks
Shengheng Liu, Xingkang Li, Yongming Huang +6
Integrated sensing and communication is widely acknowledged as a foundational technology for next-generation mobile networks. Compared with monostatic sensing, multi-access point (…
Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities
Qimei Cui, Xiaohu You, Ni Wei +22
With the growing demand for seamless connectivity and intelligent communication, the integration of artificial intelligence (AI) and sixth-generation (6G) communication networks ha…