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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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Semantic Communications for Speech Signals
We consider a semantic communication system for speech signals, named SC...
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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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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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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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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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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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Robust Precoding in Massive MIMO: A Deep Learning Approach
In this paper, we consider massive multiple-input-multiple-output (MIMO)...
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Federated Learning and Wireless Communications
Federated learning becomes increasingly attractive in the areas of wirel...
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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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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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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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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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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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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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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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Deep Learning based Downlink Channel Prediction for FDD Massive MIMO System
In a frequency division duplexing (FDD) massive multiple-input multiple-...
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Compression and Acceleration of Neural Networks for Communications
Deep learning (DL) has achieved great success in signal processing and c...
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Learn to Allocate Resources in Vehicular Networks
Resource allocation has a direct and profound impact on the performance ...
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Model-Driven Deep Learning for Joint MIMO Channel Estimation and Signal Detection
In this paper, we investigate the model-driven deep learning (DL) for jo...
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Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks
It has been a long-held belief that judicious resource allocation is cri...
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Convolutional Neural Network based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis
Massive multiple-input multiple-output (MIMO) is a promising technology ...
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Graph Embedding based Wireless Link Scheduling with Few Training Samples
Link scheduling in device-to-device (D2D) networks is usually formulated...
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Performance Analysis of Clustered LoRa Networks
In this paper, we investigate the uplink transmission performance of low...
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Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning
This paper investigates the spectrum sharing problem in vehicular networ...
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Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM
Channel estimation and signal detection are very challenging for an orth...
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Deep CNN based Channel Estimation for mmWave Massive MIMO Systems
For millimeter wave (mmWave) massive multiple-input multiple-output (MIM...
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Artificial Intelligence-aided Receiver for A CP-Free OFDM System: Design, Simulation, and Experimental Test
Orthogonal frequency division multiplexing (OFDM), usually with sufficie...
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Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel
In this article, we develop an end-to-end wireless communication system ...
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Learning to Branch: Accelerating Resource Allocation in Wireless Networks
Resource allocation in wireless networks, such as device-to-device (D2D)...
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Beam Squint and Channel Estimation for Wideband mmWave Massive MIMO-OFDM Systems
With the increasing scale of antenna arrays in wideband millimeter-wave ...
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TCM-NOMA: Joint Multi-user Codeword Design and Detection in Trellis Coded Modulation based NOMA for Beyond 5G
In this paper, we propose a novel non-orthogonal multiple access (NOMA) ...
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Beam Training and Allocation for Multiuser Millimeter Wave Massive MIMO Systems
We investigate beam training and allocation for multiuser millimeter wav...
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Artificial Intelligence-aided OFDM Receiver: Design and Experimental Results
Orthogonal frequency division multiplexing (OFDM) is one of the key tech...
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Ultra-dense LEO: Integrating Terrestrial-Satellite Networks into 5G and Beyond for Data Offloading
In this paper, we propose a terrestrial-satellite network (TSN) architec...
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Low-Power Wide-Area Networks for Sustainable IoT
Low-power wide-area (LPWA) networks are attracting extensive attention b...
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ComNet: Combination of Deep Learning and Expert Knowledge in OFDM Receivers
In this article, we propose a model-driven deep learning (DL) approach t...
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Energy Efficiency of Distributed Antenna Systems with Wireless Power Transfer
In this paper, we study energy-efficient resource allocation in distribu...
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Performance Analysis of Multi-Cell Millimeter Wave Massive MIMO Networks with Low-Precision ADCs
In this paper, we investigate a multi-cell millimeter wave (mmWave) mass...
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A Model-Driven Deep Learning Network for MIMO Detection
In this paper, we propose a model-driven deep learning network for multi...
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Model-Driven Deep Learning for Physical Layer Communications
Intelligent communication is gradually considered as the mainstream dire...
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UAV Communications Based on Non-Orthogonal Multiple Access
This article proposes a novel framework for unmaned aerial vehicle (UAV)...
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A Framework on Hybrid MIMO Transceiver Design based on Matrix-Monotonic Optimization
Hybrid transceiver can strike a balance between complexity and performan...
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Resource Allocation for Cooperative D2D-Enabled Wireless Caching Networks
In this paper, we study the resource allocation problem for a cooperativ...
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Deep Learning in Physical Layer Communications
It has been demonstrated that deep learning (DL) has the great potential...
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Deep Learning-based CSI Feedback Approach for Time-varying Massive MIMO Channels
Massive multiple-input multiple-output (MIMO) systems rely on channel st...
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Channel Agnostic End-to-End Learning based Communication Systems with Conditional GAN
In this article, we use deep neural networks (DNNs) to develop a wireles...
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Performance Analysis of Indoor THz Communications with One-Bit Precoding
In this paper, the performance of indoor Terahertz (THz) communication s...
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Resource Allocation for Low-Latency Vehicular Communications with Packet Retransmission
Vehicular communications have stringent latency requirements on safety-c...
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Deep Reinforcement Learning based Resource Allocation for V2V Communications
In this paper, we develop a decentralized resource allocation mechanism ...
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