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09/19/2023
Delay-sensitive Task Offloading in Vehicular Fog Computing-Assisted Platoons
Vehicles in platoons need to process many tasks to support various real-...
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09/13/2023
Reliability-Latency-Rate Tradeoff in Low-Latency Communications with Finite-Blocklength Coding
Low-latency communication plays an increasingly important role in delay-...
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08/28/2023
Flexible-Position MIMO for Wireless Communications: Fundamentals, Challenges, and Future Directions
The flexible-position multiple-input multiple-output (MIMO), such as flu...
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07/14/2023
A Tutorial on Extremely Large-Scale MIMO for 6G: Fundamentals, Signal Processing, and Applications
Extremely large-scale multiple-input-multiple-output (XL-MIMO), which of...
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05/05/2023
FedNC: A Secure and Efficient Federated Learning Method Inspired by Network Coding
Federated Learning (FL) is a promising distributed learning mechanism wh...
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04/01/2023
Fundamental Limits of Holographic MIMO Channels: Tackling Non-Separable Transceiver Correlation
Holographic MIMO communication was proposed to sufficiently exploit the ...
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03/20/2023
Task-Oriented Communications for 6G: Vision, Principles, and Technologies
Driven by the interplay among artificial intelligence, digital twin, and...
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03/11/2023
FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning
Federated learning (FL) has prevailed as an efficient and privacy-preser...
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02/06/2023
Mobile Cell-Free Massive MIMO: Challenges, Solutions, and Future Directions
Cell-free (CF) massive multiple-input multiple-output (MIMO) systems, wh...
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11/29/2022
An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation
Terahertz ultra-massive MIMO (THz UM-MIMO) is envisioned as one of the k...
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11/28/2022
Lightweight and Adaptive FDD Massive MIMO CSI Feedback with Deep Equilibrium Learning
In frequency-division duplexing (FDD) massive multiple-input multiple-ou...
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11/15/2022
Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation
Reliability is of paramount importance for the physical layer of wireles...
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10/19/2022
Over-the-Air Computation: Foundations, Technologies, and Applications
The rapid advancement of artificial intelligence technologies has given ...
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10/05/2022
ISFL: Trustworthy Federated Learning for Non-i.i.d. Data with Local Importance Sampling
As a promising integrated computation and communication learning paradig...
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09/03/2022
Augmented Deep Unfolding for Downlink Beamforming in Multi-cell Massive MIMO With Limited Feedback
In limited feedback multi-user multiple-input multiple-output (MU-MIMO) ...
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05/31/2022
Collaborative Sensing in Perceptive Mobile Networks: Opportunities and Challenges
With the development of innovative applications that demand accurate env...
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05/21/2022
Graph Neural Network Enhanced Approximate Message Passing for MIMO Detection
Efficient multiple-input multiple-output (MIMO) detection algorithms wit...
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05/10/2022
Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks
Terahertz ultra-massive multiple-input multiple-output (THz UM-MIMO) is ...
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04/30/2022
Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data
Existing deep learning-enabled semantic communication systems often rely...
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04/11/2022
Why Shape Coding? Asymptotic Analysis of the Entropy Rate for Digital Images
This paper focuses on the ultimate limit theory of image compression. It...
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03/21/2022
Graph Neural Networks for Wireless Communications: From Theory to Practice
Deep learning-based approaches have been developed to solve challenging ...
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03/14/2022
Communication-Efficient Federated Distillation with Active Data Sampling
Federated learning (FL) is a promising paradigm to enable privacy-preser...
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02/14/2022
Semantic Communication Meets Edge Intelligence
The development of emerging applications, such as autonomous transportat...
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12/29/2021
Perceptive Mobile Network with Distributed Target Monitoring Terminals: Leaking Communication Energy for Sensing
Integrated sensing and communication enables sensing capability for wire...
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12/02/2021
How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning
Federated learning (FL) has recently emerged as a transformative paradig...
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11/28/2021
Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach
Cell-free massive MIMO is one of the core technologies for future wirele...
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11/24/2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
The thriving of artificial intelligence (AI) applications is driving the...
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11/12/2021
Bounding Queue Length Violation Probability of Joint Channel and Buffer Aware Transmission
Queue length violation probability, i.e., the tail distribution of the q...
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11/05/2021
Mean-Field Approximation based Scheduling for Broadcast Channels with Massive Receivers
The emerging Industrial Internet of Things (IIoT) is driving an ever inc...
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11/03/2021
How Neural Architectures Affect Deep Learning for Communication Networks?
In recent years, there has been a surge in applying deep learning to var...
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10/14/2021
Cell-Free Massive MIMO for 6G Wireless Communication Networks
The recently commercialized fifth-generation (5G) wireless communication...
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10/01/2021
Learn to Communicate with Neural Calibration: Scalability and Generalization
The conventional design of wireless communication systems typically reli...
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08/17/2021
How Powerful is Graph Convolution for Recommendation?
Graph convolutional networks (GCNs) have recently enabled a popular clas...
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08/17/2021
Distributed Expectation Propagation Detection for Cell-Free Massive MIMO
In cell-free massive MIMO networks, an efficient distributed detection a...
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08/03/2021
Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation
Channel estimation and beamforming play critical roles in frequency-divi...
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06/11/2021
AI Empowered Resource Management for Future Wireless Networks
Resource management plays a pivotal role in wireless networks, which, un...
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05/11/2021
Over-the-Air Computation via Reconfigurable Intelligent Surface
Over-the-air computation (AirComp) is a disruptive technique for fast wi...
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04/30/2021
Convergence Analysis and System Design for Federated Learning over Wireless Networks
Federated learning (FL) has recently emerged as an important and promisi...
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04/26/2021
Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression
Federated learning (FL) is a promising and powerful approach for trainin...
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04/13/2021
Large-scale IRS-aided MIMO over Double-scattering Channel: An Asymptotic Approach
Intelligent reflecting surface (IRS) is a promising enabler for next-gen...
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04/04/2021
Decentralized Statistical Inference with Unrolled Graph Neural Networks
In this paper, we investigate the decentralized statistical inference pr...
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03/26/2021
Hierarchical Quantized Federated Learning: Convergence Analysis and System Design
Federated learning is a collaborative machine learning framework to trai...
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12/28/2020
Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing
As an emerging technique, mobile edge computing (MEC) introduces a new p...
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09/16/2020
Reconfigurable Intelligent Surface Assisted Massive MIMO with Antenna Selection
Antenna selection is capable of reducing the hardware complexity of mass...
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08/03/2020
A Low-Complexity Algorithmic Framework for Large-Scale IRS-Assisted Wireless Systems
Intelligent reflecting surfaces (IRSs) are revolutionary enablers for ne...
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07/15/2020
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis
Deep learning has recently emerged as a disruptive technology to solve c...
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05/21/2020
An Importance Aware Weighted Coding Theorem Using Message Importance Measure
There are numerous scenarios in source coding where not only the code le...
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04/29/2020
Intelligent networking with Mobile Edge Computing: Vision and Challenges for Dynamic Network Scheduling
Mobile edge computing (MEC) has been considered as a promising technique...
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04/26/2020
Blind Data Detection in Massive MIMO via ℓ_3-norm Maximization over the Stiefel Manifold
Massive MIMO has been regarded as a key enabling technique for 5G and be...
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02/26/2020
