activity
20112024
most citedDual Supervised Learning

72 citations · 210 across the 27 of their papers we have counts for

collaborators
Showing cs.ITShow all

7 papers · 1 filter

cs.IT2024

Swin Transformer-Based CSI Feedback for Massive MIMO

Jiaming Cheng, Wei Chen, Jialong Xu +3

For massive multiple-input multiple-output systems in the frequency division duplex (FDD) mode, accurate downlink channel state information (CSI) is required at the base station (B…

cs.IT2022

Data-Driven Compressed Sensing for Massive Wireless Access

Yanna Bai, Wei Chen, Feifei Sun +2

The central challenge in massive machine-type communications (mMTC) is to connect a large number of uncoordinated devices through a limited spectrum. The typical mMTC communication…

cs.IT20223 cited

Deep Joint Source-Channel Coding for CSI Feedback: An End-to-End Approach

Jialong Xu, Bo Ai, Ning Wang +1

The increased throughput brought by MIMO technology relies on the knowledge of channel state information (CSI) acquired in the base station (BS). To make the CSI feedback overhead…

cs.IT20194 cited

Optimal Sampling of Water Distribution Network Dynamics using Graph Fourier Transform

Zhuangkun Wei, Alessio Pagani, Guangtao Fu +4

Water Distribution Networks (WDNs) are critical infrastructures that ensure safe drinking water. One of the major threats is the accidental or intentional injection of pollutants.…

cs.IT20172 cited

Enhanced Group Sparse Beamforming for Green Cloud-RAN: A Random Matrix Approach

Yuanming Shi, Jun Zhang, Wei Chen +1

Group sparse beamforming is a general framework to minimize the network power consumption for cloud radio access networks (Cloud-RANs), which, however, suffers high computational c…

cs.IT2017

Generalized Sparse and Low-Rank Optimization for Ultra-Dense Networks

Yuanming Shi, Jun Zhang, Wei Chen +1

Ultra-dense network (UDN) is a promising technology to further evolve wireless networks and meet the diverse performance requirements of 5G networks. With abundant access points, e…