Blind Joint 2-D DOA/Symbols Estimation for 3-D Millimeter Wave Massive MIMO Communication Systems

2019 ◽  
Vol 15 (4) ◽  
pp. 1-24
Author(s):  
Chung Buiquang ◽  
Zhongfu Ye
Keyword(s):  
Millimeter Wave ◽  
Massive Mimo ◽  
Communication Systems ◽  
Mimo Communication

Adaptive beam alignment method for millimeter-wave massive MIMO communication systems

2020 ◽  
Vol 41 ◽  
pp. 101101
Author(s):  
Wenjie Zhang ◽  
Hui Li ◽  
Penglu Liu ◽  
Shanlin Wei ◽  
Wei Cheng ◽  
...  
Keyword(s):  
Millimeter Wave ◽  
Massive Mimo ◽  
Communication Systems ◽  
Alignment Method ◽  
Mimo Communication

A Non-Stationary Wideband Channel Model for Massive MIMO Communication Systems

2015 ◽  
Vol 14 (3) ◽  
pp. 1434-1446 ◽  
Author(s):  
Shangbin Wu ◽  
Cheng-Xiang Wang ◽  
Harald Haas ◽  
el-Hadi M. Aggoune ◽  
Mohammed M. Alwakeel ◽  
...  
Keyword(s):  
Massive Mimo ◽  
Communication Systems ◽  
Channel Model ◽  
Mimo Communication ◽  
Wideband Channel

scholarly journals Editorial: Special Issue “Massive MIMO and mm-Wave Communications”

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 519
Author(s):  
Gianmarco Romano
Keyword(s):  
Millimeter Wave ◽  
Massive Mimo ◽  
Communication Systems ◽  
Multiple Input Multiple Output ◽  
Data Traffic ◽  
Special Issue ◽  
Editorial Special Issue ◽  
Multiple Input ◽  
Key Technologies ◽  
Input Multiple Output

Massive multiple-input multiple-output (mMIMO) communication systems and the use of millimeter-wave (mm-Wave) bands represent key technologies that are expected to meet the growing demand of data traffic and the explosion of the number of devices that need to communicate over 5G/6G wireless networks [...]

scholarly journals An Efficient Precoding Scheme for Millimeter-Wave Massive MIMO Systems

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 927 ◽  
Author(s):  
Alemaishat ◽  
Saraereh ◽  
Khan ◽  
Affes ◽  
Li ◽  
...  
Keyword(s):  
Computational Complexity ◽  
Millimeter Wave ◽  
Massive Mimo ◽  
Communication Systems ◽  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Beam Control ◽  
Low Computational Complexity ◽  
Multiple Input ◽  
Input Multiple Output

Aiming at the problem of high computational complexity due to a large number of antennas deployed in mmWave massive multiple-input multiple-output (MIMO) communication systems, this paper proposes an efficient algorithm for optimizing beam control vectors with low computational complexity based on codebooks for millimeter-wave massive MIMO systems with split sub-arrays hybrid beamforming architecture. A bidirectional method is adopted on the beam control vector of each antenna sub-array both at the transmitter and receiver, which utilizes the idea of interference alignment (IA) and alternating optimization. The simulation results show that the proposed algorithm has low computational complexity, fast convergence, and improved spectral efficiency as compared with the state-of-the-art algorithms.

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