activity
20092023
most citedLearning to Optimize: Training Deep Neural Networks for Wireless Resource Management

895 citations · 2.6k across the 43 of their papers we have counts for

collaborators

44 papers

cs.IT2023

Channel Estimation By Transmitting Pilots From Reconfigurable Intelligent Surface

Yanze Zhu, Yang Liu, Qingqing Wu +2

Reconfigurable intelligent surface (RIS) is a promising technology for future wireless communication systems. Channel estimation (CE) of RIS device is a critical but also challengi…

cs.IT2023

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…

eess.SP2023

Decentralized Equalization for Massive MIMO Systems With Colored Noise Samples

Xiaotong Zhao, Mian Li, Bo Wang +3

Recently, the decentralized baseband processing (DBP) paradigm and relevant detection methods have been proposed to enable extremely large-scale massive multiple-input multiple-out…

eess.SP2023

Once and for All: Scheduling Multiple Users Using Statistical CSI under Fixed Wireless Access

Xin Guan, Zhixing Chen, Yibin Kang +1

Conventional multi-user scheduling schemes are designed based on instantaneous channel state information (CSI), indicating that decisions must be made every transmission time inter…

eess.SP2023★ 1 cited

A Physics-based and Data-driven Approach for Localized Statistical Channel Modeling

Shutao Zhang, Xinzhi Ning, Xi Zheng +3

Localized channel modeling is crucial for offline performance optimization of 5G cellular networks, but the existing channel models are for general scenarios and do not capture loc…

cs.NI2022

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…