3 papers
cs.LG2024
Fine-grained graph representation learning for heterogeneous mobile networks with attentive fusion and contrastive learning
Shengheng Liu, Tianqi Zhang, Ningning Fu +1
AI becomes increasingly vital for telecom industry, as the burgeoning complexity of upcoming mobile communication networks places immense pressure on network operators. While there…
cs.IT2024
Unlocking Potentials of Near-Field Propagation: ELAA-Empowered Integrated Sensing and Communication
Zhenyao He, Wei Xu, Zhaohui Yang +5
The exploration of extremely large antenna arrays (ELAAs) using high-frequency spectrum has led to a paradigm shift in electromagnetic radiation field, transitioning from the commo…
cs.NI2024
Learning Wireless Data Knowledge Graph for Green Intelligent Communications: Methodology and Experiments
Yongming Huang, Xiaohu You, Hang Zhan +3
Intelligent communications have played a pivotal role in shaping the evolution of 6G networks. Native artificial intelligence (AI) within green communication systems must meet stri…