467 citations · 3.3k across the 111 of their papers we have counts for
12 papers · 1 filter
Channel Estimation for Extremely Large-Scale Massive MIMO Systems
Yu Han, Shi Jin, Chao-Kai Wen +1
Extremely large-scale massive multiple-input multiple-output (MIMO) has shown considerable potential in future mobile communications. However, the use of extremely large aperture a…
3-D Positioning and Environment Mapping for mmWave Communication Systems
Jie Yang, Shi Jin, Chao-Kai Wen +2
Millimeter-wave (mmWave) cloud radio access networks (CRANs) provide new opportunities for accurate cooperative localization, in which large bandwidths, large antenna arrays, and i…
Compression and Acceleration of Neural Networks for Communications
Jiajia Guo, Jinghe Wang, Chao-Kai Wen +2
Deep learning (DL) has achieved great success in signal processing and communications and has become a promising technology for future wireless communications. Existing works mainl…
Model-Driven Deep Learning for MIMO Detection
Hengtao He, Chao-Kai Wen, Shi Jin +1
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 iterative algorithm and…
Convolutional Neural Network based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis
Jiajia Guo, Chao-Kai Wen, Shi Jin +1
Massive multiple-input multiple-output (MIMO) is a promising technology to increase link capacity and energy efficiency. However, these benefits are based on available channel stat…
Gridless Variational Bayesian Channel Estimation for Antenna Array Systems with Low Resolution ADCs
Jiang Zhu, Chao-kai Wen, Jun Tong +2
Employing low-resolution analog-to-digital converters (ADCs) coupled with large antenna arrays at the receivers has drawn considerable interests in the millimeter wave (mm-wave) sy…
Expectation Propagation Detector for Extra-Large Scale Massive MIMO
Hanqing Wang, Alva Kosasih, Chao-Kai Wen +2
The order-of-magnitude increase in the dimension of antenna arrays, which forms extra-large-scale massive multiple-input-multiple-output (MIMO) systems, enables substantial improve…
TurboNet: A Model-driven DNN Decoder Based on Max-Log-MAP Algorithm for Turbo Code
Yunfeng He, Jing Zhang, Chao-Kai Wen +1
This paper presents TurboNet, a novel model-driven deep learning (DL) architecture for turbo decoding that combines DL with the traditional max-log-maximum a posteriori (MAP) algor…
Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM
Jing Zhang, Hengtao He, Chao-Kai Wen +2
Channel estimation and signal detection are very challenging for an orthogonal frequency division multiplexing (OFDM) system without cyclic prefix (CP). In this article, deep learn…
Data-Aided Secure Massive MIMO Transmission under the Pilot Contamination Attack
Yongpeng Wu, Chao-Kai Wen, Wen Chen +3
In this paper, we study the design of secure communication for time division duplex multi-cell multi-user massive multiple-input multiple-output (MIMO) systems with active eavesdro…
Artificial Intelligence-aided Receiver for A CP-Free OFDM System: Design, Simulation, and Experimental Test
Jing Zhang, Chao-Kai Wen, Shi Jin +1
Orthogonal frequency division multiplexing (OFDM), usually with sufficient cyclic prefix (CP), has been widely applied in various communication systems. The CP in OFDM consumes add…
FDD Massive MIMO Based on Efficient Downlink Channel Reconstruction
Yu Han, Qi Liu, Chao-Kai Wen +2
Massive multiple-input multiple-output (MIMO) systems deploying a large number of antennas at the base station considerably increase the spectrum efficiency by serving multiple use…