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20182020
most citedOptimal Multiuser Loading in Quantized Massive MIMO under Spatially Correlated Channels

13 citations · 15 across the 3 of their papers we have counts for

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cs.IT2020

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…

cs.IT2019

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…

cs.IT2019★ 13 cited

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)…

cs.IT2018

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…

cs.IT2018

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…

cs.IT2018

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…