467 citations · 824 across the 49 of their papers we have counts for
4 papers · 1 filter
A Model-Driven Deep Learning Network for MIMO Detection
Hengtao He, Chao-Kai Wen, Shi Jin +1
In this paper, we propose a model-driven deep learning network for multiple-input multiple-output (MIMO) detection. The structure of the network is specially designed by unfolding…
Model-Driven Deep Learning for Physical Layer Communications
Hengtao He, Shi Jin, Chao-Kai Wen +3
Intelligent communication is gradually considered as the mainstream direction in future wireless communications. As a major branch of machine learning, deep learning (DL) has been…
Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems with Low-Resolution ADCs
Hengtao He, Chao-Kai Wen, Shi Jin
Hybrid analog-digital precoding architectures and low-resolution analog-to-digital converter (ADC) receivers are two solutions to reduce hardware cost and power consumption for mil…
Deep Learning-based Channel Estimation for Beamspace mmWave Massive MIMO Systems
Hengtao He, Chao-Kai Wen, Shi Jin +1
Channel estimation is very challenging when the receiver is equipped with a limited number of radio-frequency (RF) chains in beamspace millimeter-wave (mmWave) massive multiple-inp…