Geoffrey Ye Li

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...
01/12/2021 ∙ by Bruno Clerckx, et al. ∙ 0 ∙ share

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Semantic Communications for Speech Signals

We consider a semantic communication system for speech signals, named SC...
12/09/2020 ∙ by Zhenzi Weng, et al. ∙ 0 ∙ share

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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 ...
08/17/2020 ∙ by Yuyao Sun, et al. ∙ 0 ∙ share

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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...
06/30/2020 ∙ by Hengtao He, et al. ∙ 0 ∙ share

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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 ...
06/28/2020 ∙ by Hengtao He, et al. ∙ 0 ∙ share

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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...
06/16/2020 ∙ by Chenhao Qi, et al. ∙ 0 ∙ share

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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...
06/05/2020 ∙ by Peihao Dong, et al. ∙ 0 ∙ share

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Robust Precoding in Massive MIMO: A Deep Learning Approach

In this paper, we consider massive multiple-input-multiple-output (MIMO)...
05/27/2020 ∙ by Junchao Shi, et al. ∙ 0 ∙ share

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Federated Learning and Wireless Communications

Federated learning becomes increasingly attractive in the areas of wirel...
05/11/2020 ∙ by Zhijin Qin, et al. ∙ 0 ∙ share

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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...
04/16/2020 ∙ by Peihao Dong, et al. ∙ 0 ∙ share

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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...
03/08/2020 ∙ by Shen Gao, et al. ∙ 0 ∙ share

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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 ...
03/06/2020 ∙ by Jiajia Guo, et al. ∙ 0 ∙ share

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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...
10/18/2019 ∙ by Tiankui Zhang, et al. ∙ 0 ∙ share

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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...
09/25/2019 ∙ by Zhijin Qin, et al. ∙ 0 ∙ share

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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...
08/17/2019 ∙ by Shen Gao, et al. ∙ 0 ∙ share

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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 ...
08/12/2019 ∙ by Liang Wang, et al. ∙ 0 ∙ share

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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-...
08/09/2019 ∙ by Yuwen Yang, et al. ∙ 0 ∙ share

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Compression and Acceleration of Neural Networks for Communications

Deep learning (DL) has achieved great success in signal processing and c...
07/31/2019 ∙ by Jiajia Guo, et al. ∙ 0 ∙ share

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Learn to Allocate Resources in Vehicular Networks

Resource allocation has a direct and profound impact on the performance ...
07/30/2019 ∙ by Liang Wang, et al. ∙ 0 ∙ share

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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...
07/22/2019 ∙ by Hengtao He, et al. ∙ 0 ∙ share

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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...
07/07/2019 ∙ by Le Liang, et al. ∙ 0 ∙ share

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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 ...
06/14/2019 ∙ by Jiajia Guo, et al. ∙ 0 ∙ share

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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...
06/07/2019 ∙ by Mengyuan Lee, et al. ∙ 0 ∙ share

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Performance Analysis of Clustered LoRa Networks

In this paper, we investigate the uplink transmission performance of low...
05/31/2019 ∙ by Zhijin Qin, et al. ∙ 0 ∙ share

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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...
05/08/2019 ∙ by Le Liang, et al. ∙ 0 ∙ share

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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...
05/04/2019 ∙ by Jing Zhang, et al. ∙ 0 ∙ share

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Deep CNN based Channel Estimation for mmWave Massive MIMO Systems

For millimeter wave (mmWave) massive multiple-input multiple-output (MIM...
04/14/2019 ∙ by Peihao Dong, et al. ∙ 0 ∙ share

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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...
03/12/2019 ∙ by Jing Zhang, et al. ∙ 0 ∙ share

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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 ...
03/06/2019 ∙ by Hao Ye, et al. ∙ 0 ∙ share

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Learning to Branch: Accelerating Resource Allocation in Wireless Networks

Resource allocation in wireless networks, such as device-to-device (D2D)...
03/05/2019 ∙ by Mengyuan Lee, et al. ∙ 0 ∙ share

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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 ...
03/04/2019 ∙ by Bolei Wang, et al. ∙ 0 ∙ share

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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) ...
02/04/2019 ∙ by Boya Di, et al. ∙ 0 ∙ share

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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...
01/05/2019 ∙ by Xuyao Sun, et al. ∙ 0 ∙ share

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Artificial Intelligence-aided OFDM Receiver: Design and Experimental Results

Orthogonal frequency division multiplexing (OFDM) is one of the key tech...
12/17/2018 ∙ by Peiwen Jiang, et al. ∙ 8 ∙ share

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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...
11/13/2018 ∙ by Boya Di, et al. ∙ 0 ∙ share

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Low-Power Wide-Area Networks for Sustainable IoT

Low-power wide-area (LPWA) networks are attracting extensive attention b...
10/25/2018 ∙ by Zhijin Qin, et al. ∙ 0 ∙ share

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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...
10/22/2018 ∙ by Xuanxuan Gao, et al. ∙ 0 ∙ share

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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...
10/10/2018 ∙ by Yuwen Huang, et al. ∙ 0 ∙ share

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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...
10/05/2018 ∙ by Jindan Xu, et al. ∙ 0 ∙ share

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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...
09/25/2018 ∙ by Hengtao He, et al. ∙ 0 ∙ share

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Model-Driven Deep Learning for Physical Layer Communications

Intelligent communication is gradually considered as the mainstream dire...
09/17/2018 ∙ by Hengtao He, et al. ∙ 0 ∙ share

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UAV Communications Based on Non-Orthogonal Multiple Access

This article proposes a novel framework for unmaned aerial vehicle (UAV)...
09/15/2018 ∙ by Yuanwei Liu, et al. ∙ 0 ∙ share

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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...
08/26/2018 ∙ by Chengwen Xing, et al. ∙ 0 ∙ share

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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...
08/21/2018 ∙ by Jiaqi Liu, et al. ∙ 0 ∙ share

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Deep Learning in Physical Layer Communications

It has been demonstrated that deep learning (DL) has the great potential...
07/31/2018 ∙ by Zhijin Qin, et al. ∙ 0 ∙ share

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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...
07/31/2018 ∙ by Tianqi Wang, et al. ∙ 0 ∙ share

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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...
07/02/2018 ∙ by Hao Ye, et al. ∙ 0 ∙ share

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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...
07/01/2018 ∙ by Dan Li, et al. ∙ 0 ∙ share

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Resource Allocation for Low-Latency Vehicular Communications with Packet Retransmission

Vehicular communications have stringent latency requirements on safety-c...
06/08/2018 ∙ by Chongtao Guo, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning based Resource Allocation for V2V Communications

In this paper, we develop a decentralized resource allocation mechanism ...
05/16/2018 ∙ by Hao Ye, et al. ∙ 0 ∙ share

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Geoffrey Ye Li

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