452 citations · 477 across the 9 of their papers we have counts for
9 papers
Framework on Deep Learning Based Joint Hybrid Processing for mmWave Massive MIMO Systems
Peihao Dong, Hua Zhang, Geoffrey Ye Li
For millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, hybrid processing architecture is essential to significantly reduce the complexity and cost but…
Acquisition of Channel State Information for mmWave Massive MIMO: Traditional and Machine Learning-based Approaches
Chenhao Qi, Peihao Dong, Wenyan Ma +3
The accuracy of channel state information (CSI) acquisition directly affects the performance of millimeter wave (mmWave) communications. In this article, we provide an overview on…
Spatially Correlated Massive MIMO Relay Systems with Low-Resolution ADCs
Peihao Dong, Hua Zhang, Qihui Wu +1
In this paper, we investigate the massive MIMO relay system, where the relay station (RS) forwards the signals from multiple remote users to the base station (BS). Large-scale ante…
Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems
Peihao Dong, Hua Zhang, Geoffrey Ye Li +2
For millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, hybrid processing architecture is usually used to reduce the complexity and cost, which poses a…
Optimal Multiuser Loading in Quantized Massive MIMO under Spatially Correlated Channels
Jindan Xu, Wei Xu, Fengkui Gong +2
Low-resolution digital-to-analog converter (DAC) has shown great potential in facilitating cost- and power-efficient implementation of massive multiple-input multiple-output (MIMO)…
Performance Analysis of Multi-Cell Millimeter Wave Massive MIMO Networks with Low-Precision ADCs
Jindan Xu, Wei Xu, Hua Zhang +2
In this paper, we investigate a multi-cell millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) network with low-precision analog-to-digital converters (ADCs) at…
Wideband mmWave Channel Estimation for Hybrid Massive MIMO with Low-Precision ADCs
Yucheng Wang, Wei Xu, Hua Zhang +1
In this article, we investigate channel estimation for wideband millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) under hybrid architecture with lowprecision a…
An Enhanced SCMA Detector Enabled by Deep Neural Network
Chao Lu, Wei Xu, Hong Shen +2
In this paper, we propose a learning approach for sparse code multiple access (SCMA) signal detection by using a deep neural network via unfolding the procedure of message passing…
Utility-Energy Efficiency Oriented User Association with Power Control in Heterogeneous Networks
Xietian Huang, Wei Xu, Hong Shen +2
This letter investigates optimizing utility-energy efficiency (UEE), defined as the achieved network utility when consuming a unit of power, rather than a typical energy efficiency…