21 citations · 38 across the 20 of their papers we have counts for
10 papers · 1 filter
Asynchronous Cell-Free Massive MIMO With Rate-Splitting
Jiakang Zheng, Jiayi Zhang, Julian Cheng +3
In practical cell-free (CF) massive multiple-input multiple-output (MIMO) networks with distributed and low-cost access points, the asynchronous arrival of signals at the user equi…
Improving Fairness for Cell-Free Massive MIMO Through Interference-Aware Massive Access
Shuaifei Chen, Jiayi Zhang, Emil Björnson +1
Cell-free massive multiple-input multiple-output (CF mMIMO) provides good interference management by coordinating many more access points (APs) than user equipments (UEs). It becom…
Federated Learning-Based Cell-Free Massive MIMO System for Privacy-Preserving
Jiayi Zhang, Jing Zhang, Derrick Wing Kwan Ng +1
Cell-free massive MIMO (CF mMIMO) is a promising next generation wireless architecture to realize federated learning (FL). However, sensitive information of user equipments (UEs) m…
CSI-PPPNet: A One-Sided One-for-All Deep Learning Framework for Massive MIMO CSI Feedback
Wei Chen, Weixiao Wan, Shiyue Wang +3
To reduce multiuser interference and maximize the spectrum efficiency in orthogonal frequency division duplexing massive multiple-input multiple-output (MIMO) systems, the downlink…
Deep Joint Source-Channel Coding for Semantic Communications
Jialong Xu, Tze-Yang Tung, Bo Ai +3
Semantic communications is considered as a promising technology to increase the efficiency of next-generation communication systems, particularly targeting human-machine and machin…
Asynchronous Activity Detection for Cell-Free Massive MIMO: From Centralized to Distributed Algorithms
Yang Li, Qingfeng Lin, Ya-Feng Liu +2
Device activity detection in the emerging cell-free massive multiple-input multiple-output (MIMO) systems has been recognized as a crucial task in machine-type communications, in w…
Decentralized Coordinated Precoding Design in Cell-Free Massive MIMO Systems for URLLC
Enyu Shi, Jing Zhang, Jiayi Zhang +2
Cell-free massive multiple-input multiple-output (MIMO) is a promising network to offer huge improvement of the achievable rate compared with conventional cellular massive MIMO sys…
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…
Deep Reinforcement Learning Coordinated Receiver Beamforming for Millimeter-Wave Train-ground Communications
Xutao Zhou, Xiangfei Zhang, Chen Chen +6
As more and more people choose high-speed rail (HSR) as a means of transportation for short trips, there is ever growing demand of high quality of multimedia services. With its ric…
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…