1 citations · 1 across the 5 of their papers we have counts for
5 papers
Joint Activity Detection and Channel Estimation in Massive Machine-Type Communications with Low-Resolution ADC
Ye Xue, An Liu, Yang Li +2
In massive machine-type communications, data transmission is usually considered sporadic, and thus inherently has a sparse structure. This paper focuses on the joint activity detec…
ENGNN: A General Edge-Update Empowered GNN Architecture for Radio Resource Management in Wireless Networks
Yunqi Wang, Yang Li, Qingjiang Shi +1
In order to achieve high data rate and ubiquitous connectivity in future wireless networks, a key task is to efficiently manage the radio resource by judicious beamforming and powe…
Learning Cooperative Beamforming with Edge-Update Empowered Graph Neural Networks
Yunqi Wang, Yang Li, Qingjiang Shi +1
Cooperative beamforming design has been recognized as an effective approach in modern wireless networks to meet the dramatically increasing demand of various wireless data traffics…
Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods
Zongze Li, Shuai Wang, Qingfeng Lin +4
Reconfigurable intelligent surfaces (RISs) have a revolutionary capability to customize the radio propagation environment for wireless networks. To fully exploit the advantages of…
Heterogeneous Transformer: A Scale Adaptable Neural Network Architecture for Device Activity Detection
Yang Li, Zhilin Chen, Yunqi Wang +2
To support the modern machine-type communications, a crucial task during the random access phase is device activity detection, which is to detect the active devices from a large nu…