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08/25/2023
Deep Unfolding-Based Channel Estimation for Wideband TeraHertz Near-Field Massive MIMO Systems
The combination of Terahertz (THz) and massive multiple-input multiple-o...
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02/01/2023
AMP-SBL Unfolding for Wideband MmWave Massive MIMO Channel Estimation
In wideband millimeter wave (mmWave) massive multiple-input multiple-out...
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11/27/2022
Spatially Sparse Precoding in Wideband Hybrid Terahertz Massive MIMO Systems
In terahertz (THz) massive multiple-input multiple-output (MIMO) systems...
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09/02/2022
Learn to Adapt to New Environment from Past Experience and Few Pilot
In recent years, deep learning has been widely applied in communications...
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07/08/2022
A Deep Learning-Based Framework for Low Complexity Multi-User MIMO Precoding Design
Using precoding to suppress multi-user interference is a well-known tech...
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05/10/2022
Deep Learning-based Channel Estimation for Wideband Hybrid MmWave Massive MIMO
Hybrid analog-digital (HAD) architecture is widely adopted in practical ...
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02/07/2022
Online Deep Neural Network for Optimization in Wireless Communications
Recently, deep neural network (DNN) has been widely adopted in the desig...
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02/07/2022
Deep Learning based Channel Estimation for Massive MIMO with Hybrid Transceivers
Accurate and efficient estimation of the high dimensional channels is on...
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08/21/2021
An Attention-Aided Deep Learning Framework for Massive MIMO Channel Estimation
Channel estimation is one of the key issues in practical massive multipl...
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06/24/2020
Deep Reinforcement Learning for Joint Beamwidth and Power Optimization in mmWave Systems
This paper studies the joint beamwidth and transmit power optimization p...
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01/08/2020
Unsupervised Learning for Passive Beamforming
Reconfigurable intelligent surface (RIS) has recently emerged as a promi...
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09/06/2019