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08/31/2023
Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing
Decentralized federated learning (DFL) has gained popularity due to its ...
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08/25/2023
Deep Unfolding-Based Channel Estimation for Wideband TeraHertz Near-Field Massive MIMO Systems
The combination of Terahertz (THz) and massive multiple-input multiple-o...
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05/15/2023
Deep-Unfolding for Next-Generation Transceivers
The stringent performance requirements of future wireless networks, such...
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02/01/2023
AMP-SBL Unfolding for Wideband MmWave Massive MIMO Channel Estimation
In wideband millimeter wave (mmWave) massive multiple-input multiple-out...
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12/15/2022
Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet
In heterogeneous networks (HetNets), the overlap of small cells and the ...
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12/13/2022
Over-The-Air Federated Learning Over Scalable Cell-free Massive MIMO
Cell-free massive MIMO is emerging as a promising technology for future ...
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12/08/2022
Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions
As an efficient graph analytical tool, graph neural networks (GNNs) have...
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11/27/2022
Spatially Sparse Precoding in Wideband Hybrid Terahertz Massive MIMO Systems
In terahertz (THz) massive multiple-input multiple-output (MIMO) systems...
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09/02/2022
Learn to Adapt to New Environment from Past Experience and Few Pilot
In recent years, deep learning has been widely applied in communications...
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08/03/2022
LEO Satellite-Enabled Grant-Free Random Access with MIMO-OTFS
This paper investigates joint channel estimation and device activity det...
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08/01/2022
Hybrid Precoding for Mixture Use of Phase Shifters and Switches in mmWave Massive MIMO
A variable-phase-shifter (VPS) architecture with hybrid precoding for mi...
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06/19/2022
0/1 Deep Neural Networks via Block Coordinate Descent
The step function is one of the simplest and most natural activation fun...
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06/08/2022
Robust Semantic Communications with Masked VQ-VAE Enabled Codebook
Although semantic communications have exhibited satisfactory performance...
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05/11/2022
CSI-based Indoor Localization via Attention-Augmented Residual Convolutional Neural Network
Deep learning has been widely adopted for channel state information (CSI...
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05/10/2022
Deep Learning-based Channel Estimation for Wideband Hybrid MmWave Massive MIMO
Hybrid analog-digital (HAD) architecture is widely adopted in practical ...
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05/09/2022
Deep Learning Enabled Semantic Communications with Speech Recognition and Synthesis
In this paper, we develop a deep learning based semantic communication s...
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05/05/2022
Over-The-Air Federated Learning under Byzantine Attacks
Federated learning (FL) is a promising solution to enable many AI applic...
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05/03/2022
Efficient and Convergent Federated Learning
Federated learning has shown its advances over the last few years but is...
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04/22/2022
Federated Learning via Inexact ADMM
One of the crucial issues in federated learning is how to develop effici...
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04/04/2022
Channel Acquisition for HF Skywave Massive MIMO-OFDM Communications
In this paper, we investigate channel acquisition for high frequency (HF...
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03/12/2022
Low-Complexity Multicast Beamforming for Millimeter Wave Communications
To develop a low-complexity multicast beamforming method for millimeter ...
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03/12/2022
Hierarchical Codebook based Multiuser Beam Training for Millimeter Massive MIMO
In this paper, multiuser beam training based on hierarchical codebook fo...
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02/13/2022
Reinforcement Learning Based Power Control for Reliable Wireless Transmission
In this paper, we investigate a sequential power allocation problem over...
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02/07/2022
Online Deep Neural Network for Optimization in Wireless Communications
Recently, deep neural network (DNN) has been widely adopted in the desig...
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02/07/2022
Deep Learning based Channel Estimation for Massive MIMO with Hybrid Transceivers
Accurate and efficient estimation of the high dimensional channels is on...
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12/30/2021
Semantic Communications: Principles and Challenges
Semantic communication, regarded as the breakthrough beyond Shannon para...
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11/21/2021
Accretionary Learning with Deep Neural Networks
One of the fundamental limitations of Deep Neural Networks (DNN) is its ...
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11/01/2021
Robust Federated Learning via Over-The-Air Computation
This paper investigates the robustness of over-the-air federated learnin...
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10/28/2021
Communication-Efficient ADMM-based Federated Learning
Federated learning has shown its advances over the last few years but is...
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09/23/2021
Nine Challenges in Artificial Intelligence and Wireless Communications for 6G
In recent years, techniques developed in artificial intelligence (AI), e...
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08/21/2021
An Attention-Aided Deep Learning Framework for Massive MIMO Channel Estimation
Channel estimation is one of the key issues in practical massive multipl...
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07/22/2021
Semantic Communications for Speech Recognition
The traditional communications transmit all the source date represented ...
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04/23/2021
Deep Multi-Stage CSI Acquisition for Reconfigurable Intelligent Surface Aided MIMO Systems
This article aims to reduce huge pilot overhead when estimating the reco...
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01/12/2021
Is NOMA Efficient in Multi-Antenna Networks? A Critical Look at Next Generation Multiple Access Techniques
In this paper, we take a critical and fresh look at the downlink multi-a...
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12/09/2020
Semantic Communications for Speech Signals
We consider a semantic communication system for speech signals, named SC...
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08/17/2020
AnciNet: An Efficient Deep Learning Approach for Feedback Compression of Estimated CSI in Massive MIMO Systems
Accurate channel state information (CSI) feedback plays a vital role in ...
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06/30/2020
Beamspace Channel Estimation in Terahertz Communications: A Model-Driven Unsupervised Learning Approach
Terahertz (THz)-band communications have been one of the promising techn...
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06/28/2020
Model-Driven Deep Learning for Massive MU-MIMO with Finite-Alphabet Precoding
Massive multiuser multiple-input multiple-output (MU-MIMO) has been the ...
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06/16/2020
Acquisition of Channel State Information for mmWave Massive MIMO: Traditional and Machine Learning-based Approaches
The accuracy of available channel state information (CSI) directly affec...
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06/05/2020
Framework on Deep Learning Based Joint Hybrid Processing for mmWave Massive MIMO Systems
For millimeter wave (mmWave) massive multiple-input multiple-output (MIM...
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05/27/2020
Robust Precoding in Massive MIMO: A Deep Learning Approach
In this paper, we consider massive multiple-input-multiple-output (MIMO)...
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05/11/2020
Federated Learning and Wireless Communications
Federated learning becomes increasingly attractive in the areas of wirel...
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04/16/2020
Spatially Correlated Massive MIMO Relay Systems with Low-Resolution ADCs
In this paper, we investigate the massive MIMO relay system, where the r...
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03/08/2020
Reinforcement Learning Based Cooperative Coded Caching under Dynamic Popularities in Ultra-Dense Networks
For ultra-dense networks with wireless backhaul, caching strategy at sma...
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03/06/2020
DL-based CSI Feedback and Cooperative Recovery in Massive MIMO
In this paper, we exploit the correlation between nearby user equipment ...
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10/18/2019
D2D-Enabled Mobile User Edge Caching: A Multi-Winner Auction Approach
In device-to-device (D2D)-enabled caching cellular networks, the user te...
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09/25/2019
20 Years of Evolution from Cognitive to Intelligent Communications
It has been 20 years since the concept of cognitive radio (CR) was propo...
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08/17/2019
Deep Learning based Channel Estimation for Massive MIMO with Mixed-Resolution ADCs
In this article, deep learning is applied to estimate the uplink channel...
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08/12/2019
Learn to Compress CSI and Allocate Resources in Vehicular Networks
Resource allocation has a direct and profound impact on the performance ...
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08/09/2019