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20112023
most citedModel-Driven Deep Learning for MIMO Detection

467 citations · 3.3k across the 111 of their papers we have counts for

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Showing 2019 · eess.SPShow all

5 papers · 2 filters

eess.SP2019★ 11 cited

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…

eess.SP2019

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…

eess.SP2019★ 75 cited

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…

eess.SP2019★ 4 cited

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…

eess.SP2019★ 37 cited

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…