scholarly journals Performance Analysis of Millimeter-Wave Multi-hop Machine-to-Machine Networks Based on Hop Distance Statistics

Sensors ◽  
2018 ◽  
Vol 18 (2) ◽  
pp. 204 ◽  
Author(s):  
Haejoon Jung ◽  
In-Ho Lee
Keyword(s):  
Performance Analysis ◽  
Millimeter Wave ◽  
Machine To Machine

Performance Analysis of a 10-Gb/s Millimeter-Wave Impulse Radio Transmitter

2011 ◽  
Vol E94-C (10) ◽  
pp. 1557-1564
Author(s):  
Yasuhiro NAKASHA ◽  
Naoki HARA ◽  
Kiyomichi ARAKI
Keyword(s):  
Performance Analysis ◽  
Millimeter Wave ◽  
Impulse Radio ◽  
Radio Transmitter

Uplink Performance Analysis for Millimeter Wave Cellular Networks With Clustered Users

2020 ◽  
Vol 69 (6) ◽  
pp. 6178-6188
Author(s):  
Nor Aishah Muhammad ◽  
Nur Ilyana Anwar Apandi ◽  
Yonghui Li ◽  
Norhudah Seman
Keyword(s):  
Performance Analysis ◽  
Cellular Networks ◽  
Millimeter Wave

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 Performance Analysis of Agile-Beam NOMA in Millimeter Wave Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 6638-6649 ◽  
Author(s):  
Jianfeng Li ◽  
Xiaojun Jing ◽  
Yangying Zhang ◽  
Junsheng Mu
Keyword(s):  
Performance Analysis ◽  
Millimeter Wave
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