scholarly journals Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems

2019 ◽  
Author(s):  
Xiaofeng Li ◽  
Ahmed Alkhateeb
Keyword(s):  
Deep Learning ◽  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Hybrid Precoding

scholarly journals Hybrid Precoding for Multiuser Millimeter Wave Massive MIMO Systems: A Deep Learning Approach

2020 ◽  
Vol 69 (1) ◽  
pp. 552-563 ◽  
Author(s):  
Ahmet M. Elbir ◽  
Anastasios K. Papazafeiropoulos
Keyword(s):  
Deep Learning ◽  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Learning Approach ◽  
Hybrid Precoding

Deep Learning Based Hybrid Precoding Technique for Millimeter-Wave Massive MIMO Systems

2021 ◽  
Author(s):  
Islam Osama ◽  
Mohamed Rihan ◽  
Mohamed Elhefnawy ◽  
Sami Eldolil
Keyword(s):  
Deep Learning ◽  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Hybrid Precoding

Dynamically Connected Hybrid Precoding Scheme for Millimeter-Wave Massive MIMO Systems

2018 ◽  
Vol 22 (12) ◽  
pp. 2583-2586
Author(s):  
Xiaorong Jing ◽  
Lianghong Li ◽  
Hongqing Liu ◽  
Shaoqian Li
Keyword(s):  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Hybrid Precoding

MMSE algorithm based two stages hybrid precoding for millimeter wave massive MIMO systems

2018 ◽  
Vol 98 (3) ◽  
pp. 565-573 ◽  
Author(s):  
Sahar Said ◽  
Waleed Saad ◽  
Mona Shokair
Keyword(s):  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Hybrid Precoding ◽  
Two Stages

Performance Analysis of Different Hybrid Precoding Schemes in 5G mmWave massive MIMO Systems

2021 ◽  
Vol 11 (09) ◽  
pp. 1696-1700
Author(s):  
Md. Mizanul Hoque ◽  
Md. Masud Karim ◽  
Md. Mustafa Kamal ◽  
Md. Kayesh ◽  
Sawkat Osman
Keyword(s):  
Energy Consumption ◽  
Performance Analysis ◽  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Cellular Communication ◽  
Low Energy ◽  
System Complexity ◽  
Hybrid Precoding ◽  
Energy Consuming

Millimeter-wave (mmWave) communication is most likely to appear as a aspiring technology in the upcoming generation of cellular communication (5G). To confront several challenges (e.g., system complexity, energy consumption etc.), hybrid precoding is largely investigated in mmWave massive MIMO systems due to its low energy consuming nature and reduced system complexity.

scholarly journals An Enhanced Nonlinear Hybrid Precoding Algorithm for Millimeter Wave Massive MIMO Systems

2020 ◽  
Vol 1486 ◽  
pp. 032007
Author(s):  
Fulai Liu ◽  
Yanshuo Zhang ◽  
Ruiyan Du
Keyword(s):  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Hybrid Precoding ◽  
Nonlinear Hybrid

Hybrid Precoding for Millimeter Wave Multiuser Massive MIMO Systems with Low-Resolution DACs

2020 ◽  
Author(s):  
Yajing Guo ◽  
Yunliang Zhang ◽  
Shuaifei Chen ◽  
Jiakang Zheng ◽  
Jiayi Zhang
Keyword(s):  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Low Resolution ◽  
Hybrid Precoding

One-Bit Hybrid Precoding for Wideband Millimeter-Wave Massive MIMO Systems

2019 ◽  
Author(s):  
Talha Mir ◽  
Zain Siddiqi ◽  
Usama Mir ◽  
Richard MacKenzie ◽  
Mo Hao
Keyword(s):  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Hybrid Precoding

Deep Learning for Beam Training in Millimeter Wave Massive MIMO Systems

2020 ◽  
pp. 1-1
Author(s):  
Chenhao Qi ◽  
Yujie Wang ◽  
Geoffrey Ye Li
Keyword(s):  
Deep Learning ◽  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems
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