1.6k citations · 6.8k across the 149 of their papers we have counts for
18 papers · 1 filter
Deep-Unfolding Beamforming for Intelligent Reflecting Surface assisted Full-Duplex Systems
Yanzhen Liu, Qiyu Hu, Yunlong Cai +2
In this paper, we investigate an intelligent reflecting surface (IRS) assisted multi-user multiple-input multiple-output (MIMO) full-duplex (FD) system. We jointly optimize the act…
Accretionary Learning with Deep Neural Networks
Xinyu Wei, Biing-Hwang Fred Juang, Ouya Wang +2
One of the fundamental limitations of Deep Neural Networks (DNN) is its inability to acquire and accumulate new cognitive capabilities. When some new data appears, such as new obje…
Robust Federated Learning via Over-The-Air Computation
Houssem Sifaou, Geoffrey Ye Li
This paper investigates the robustness of over-the-air federated learning to Byzantine attacks. The simple averaging of the model updates via over-the-air computation makes the lea…
Communication-Efficient ADMM-based Federated Learning
Shenglong Zhou, Geoffrey Ye Li
Federated learning has shown its advances over the last few years but is facing many challenges, such as how algorithms save communication resources, how they reduce computational…
Nine Challenges in Artificial Intelligence and Wireless Communications for 6G
Wen Tong, Geoffrey Ye Li
In recent years, techniques developed in artificial intelligence (AI), especially those in machine learning (ML), have been successfully applied in various areas, leading to a wide…
Asymmetrical Uplink and Downlink Transceivers in Massive MIMO Systems
Xi Yang, Shi Jin, Geoffrey Ye Li +1
Even if massive multiple-input multiple-output (MIMO) can theoretically bring huge benefits, it incurs substantial hardware complexity and expensive hardware costs. To address thes…
An Attention-Aided Deep Learning Framework for Massive MIMO Channel Estimation
Jiabao Gao, Mu Hu, Caijun Zhong +2
Channel estimation is one of the key issues in practical massive multiple-input multiple-output (MIMO) systems. Compared with conventional estimation algorithms, deep learning (DL)…
Task-Oriented Multi-User Semantic Communications for VQA Task
Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li
Semantic communications focus on the transmission of semantic features. In this letter, we consider a task-oriented multi-user semantic communication system for multimodal data tra…
Semantic Communications for Speech Recognition
Zhenzi Weng, Zhijin Qin, Geoffrey Ye Li
The traditional communications transmit all the source data represented by bits, regardless of the content of source and the semantic information required by the receiver. However,…
Deep Source-Channel Coding for Sentence Semantic Transmission with HARQ
Peiwen Jiang, Chao-Kai Wen, Shi Jin +1
Recently, semantic communication has been brought to the forefront because of its great success in deep learning (DL), especially Transformer. Even if semantic communication has be…
Deep Learning-based Implicit CSI Feedback in Massive MIMO
Muhan Chen, Jiajia Guo, Chao-Kai Wen +3
Massive multiple-input multiple-output can obtain more performance gain by exploiting the downlink channel state information (CSI) at the base station (BS). Therefore, studying CSI…
Understanding Deep MIMO Detection
Qiang Hu, Feifei Gao, Hao Zhang +2
Incorporating deep learning (DL) into multiple-input multiple-output (MIMO) detection has been deemed as a promising technique for future wireless communications. However, most DL-…
Deep Multi-Stage CSI Acquisition for Reconfigurable Intelligent Surface Aided MIMO Systems
Shen Gao, Peihao Dong, Zhiwen Pan +1
This article aims to reduce huge pilot overhead when estimating the reconfigurable intelligent surface (RIS) relayed wireless channel. Motivated by the compelling grasp of deep lea…
Adaptive Channel Estimation Based on Model-Driven Deep Learning for Wideband mmWave Systems
Weijie Jin, Hengtao He, Chao-Kai Wen +2
Channel estimation in wideband millimeter-wave (mmWave) systems is very challenging due to the beam squint effect. To solve the problem, we propose a learnable iterative shrinkage…
On Channel Reciprocity in Reconfigurable Intelligent Surface Assisted Wireless Network
Wankai Tang, Xiangyu Chen, Ming Zheng Chen +6
Channel reciprocity greatly facilitates downlink precoding in time-division duplexing (TDD) multiple-input multiple-output (MIMO) communications without the need for channel state…
Is NOMA Efficient in Multi-Antenna Networks? A Critical Look at Next Generation Multiple Access Techniques
Bruno Clerckx, Yijie Mao, Robert Schober +7
In this paper, we take a critical and fresh look at the downlink multi-antenna NOMA literature. Instead of contrasting NOMA with OMA, we contrast NOMA with two other baselines. The…
Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork
Chang-Jen Wang, Chao-Kai Wen, Shang-Ho +3
Phase retrieval (PR) is an important component in modern computational imaging systems. Many algorithms have been developed over the past half-century. Recent advances in deep lear…
Computing One-bit Compressive Sensing via Double-Sparsity Constrained Optimization
Shenglong Zhou, Ziyan Luo, Naihua Xiu +1
One-bit compressive sensing gains its popularity in signal processing and communications due to its low storage costs and low hardware complexity. However, it has been a challengin…