Search Results - "Chao-Kai Wen"

Large Intelligent Surface-Assisted Wireless Communication Exploiting Statistical CSI by Han, Yu, Tang, Wankai, Jin, Shi, Wen, Chao-Kai, Ma, Xiaoli

“…Large intelligent surface (LIS)-assisted wireless communications have drawn attention worldwide. With the use of low-cost LIS on building walls, signals can be…”
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Convolutional Neural Network-Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis by Guo, Jiajia, Wen, Chao-Kai, Jin, Shi, Li, Geoffrey Ye

“…Massive multiple-input multiple-output (MIMO) is a promising technology to increase link capacity and energy efficiency. However, these benefits are based on…”
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ComNet: Combination of Deep Learning and Expert Knowledge in OFDM Receivers by Gao, Xuanxuan, Jin, Shi, Wen, Chao-Kai, Li, Geoffrey Ye

“…In this letter, we propose a model-driven deep learning (DL) approach that combines DL with the expert knowledge to replace the existing orthogonal…”
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Deep Reinforcement Learning Based Intelligent Reflecting Surface Optimization for MISO Communication Systems by Feng, Keming, Wang, Qisheng, Li, Xiao, Wen, Chao-Kai

“…This letter investigates the intelligent reflecting surface (IRS)-aided multiple-input single-output wireless transmission system. Particularly, the…”
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Deep Learning-Based CSI Feedback for Beamforming in Single- and Multi-Cell Massive MIMO Systems by Guo, Jiajia, Wen, Chao-Kai, Jin, Shi

“…The potentials of massive multiple-input multiple-output (MIMO) are all based on the available instantaneous channel state information (CSI) at the base…”
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Model-Driven Deep Learning for MIMO Detection by He, Hengtao, Wen, Chao-Kai, Jin, Shi, Li, Geoffrey Ye

“…In this paper, we investigate the model-driven deep learning (DL) for MIMO detection. In particular, the MIMO detector is specially designed by unfolding an…”
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Deep Learning-Based CSI Feedback Approach for Time-Varying Massive MIMO Channels by Wang, Tianqi, Wen, Chao-Kai, Jin, Shi, Li, Geoffrey Ye

“…Massive multiple-input multiple-output (MIMO) systems rely on channel state information (CSI) feedback to perform precoding and achieve performance gain in…”
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Model-Driven Deep Learning for Physical Layer Communications by He, Hengtao, Jin, Shi, Wen, Chao-Kai, Gao, Feifei, Li, Geoffrey Ye, Xu, Zongben

“…Intelligent communication is gradually becoming a mainstream direction. As a major branch of machine learning, deep learning (DL) has been applied in physical…”
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Deep Learning for Massive MIMO CSI Feedback by Wen, Chao-Kai, Shih, Wan-Ting, Jin, Shi

“…In frequency division duplex mode, the downlink channel state information (CSI) should be sent to the base station through feedback links so that the potential…”
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MIMO Detection for Reconfigurable Intelligent Surface-Assisted Millimeter Wave Systems by Yang, Xi, Wen, Chao-Kai, Jin, Shi

“…Millimeter wave (mmWave) band, or high frequencies such as THz, has large undeveloped band of spectrum. However, wireless channels over the mmWave band usually…”
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Large System Achievable Rate Analysis of RIS-Assisted MIMO Wireless Communication With Statistical CSIT by Zhang, Jun, Liu, Jie, Ma, Shaodan, Wen, Chao-Kai, Jin, Shi

“…Reconfigurable intelligent surface (RIS) is an emerging technology to enhance wireless communication in terms of energy cost and system performance by…”
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Overview of Deep Learning-Based CSI Feedback in Massive MIMO Systems by Guo, Jiajia, Wen, Chao-Kai, Jin, Shi, Li, Geoffrey Ye

“…Many performance gains achieved by massive multiple-input and multiple-output depend on the accuracy of the downlink channel state information (CSI) at the…”
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Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems by He, Hengtao, Wen, Chao-Kai, Jin, Shi, Li, Geoffrey Ye

“…Channel estimation is very challenging when the receiver is equipped with a limited number of radio-frequency (RF) chains in beamspace millimeter-wave massive…”
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Hybrid Active and Passive Sensing for SLAM in Wireless Communication Systems by Yang, Jie, Wen, Chao-Kai, Jin, Shi

“…Integrating sensing functions into future mobile equipment has become an important trend. Realizing different types of sensing and achieving mutual enhancement…”
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Bayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO With Low-Precision ADCs by Wen, Chao-Kai, Wang, Chang-Jen, Jin, Shi, Wong, Kai-Kit, Ting, Pangan

“…This paper considers a multiple-input multiple-output (MIMO) receiver with very low-precision analog-to-digital convertors (ADCs) with the goal of developing…”
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Communication and Localization With Extremely Large Lens Antenna Array by Yang, Jie, Zeng, Yong, Jin, Shi, Wen, Chao-Kai, Xu, Pingping

“…Achieving high-rate communication with accurate localization and wireless environment sensing has emerged as an important trend of beyond-fifth and sixth…”
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Wireless Semantic Communications for Video Conferencing by Jiang, Peiwen, Wen, Chao-Kai, Jin, Shi, Li, Geoffrey Ye

“…Video conferencing has become a popular mode of meeting despite consuming considerable communication resources. Conventional video compression causes…”
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CAnet: Uplink-Aided Downlink Channel Acquisition in FDD Massive MIMO Using Deep Learning by Guo, Jiajia, Wen, Chao-Kai, Jin, Shi

“…In frequency-division duplexing systems, the downlink channel state information (CSI) acquisition scheme leads to high training and feedback overhead. In this…”
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Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems With Low-Resolution ADCs by He, Hengtao, Wen, Chao-Kai, Jin, Shi

“…Hybrid analog-digital precoding architectures and low-resolution analog-to-digital converter (ADC) receivers are two solutions to reduce hardware cost and…”
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Mixed-ADC Massive MIMO Detectors: Performance Analysis and Design Optimization by Zhang, Ti-Cao, Wen, Chao-Kai, Jin, Shi, Jiang, Tao

“…The hardware cost and power consumption of a massive multiple-input multiple-output (MIMO) system can be remarkably reduced by using a very low-resolution…”
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