2 citations · 3 across the 6 of their papers we have counts for
6 papers
Enabling low-power massive MIMO with ternary ADCs for AIoT sensing
Shengheng Liu, Ningning Fu
The proliferation of networked devices and the surging demand for ubiquitous intelligence have given rise to the artificial intelligence of things (AIoT). However, the utilization…
Multi-grained spatial-temporal feature complementarity for accurate online cellular traffic prediction
Ningning Fu, Shengheng Liu, Weiliang Xie +1
Knowledge discovered from telecom data can facilitate proactive understanding of network dynamics and user behaviors, which in turn empowers service providers to optimize cellular…
Integrated user scheduling and beam steering in over-the-air federated learning for mobile IoT
Shengheng Liu, Ningning Fu, Zhonghao Zhang +2
The rising popularity of Internet of things (IoT) has spurred technological advancements in mobile internet and interconnected systems. While offering flexible connectivity and int…
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…
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…
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…