Special issue on Multiple-Input Multiple-Output (MIMO) Technology

Multiple-input multiple output (MIMO) radar has been widespread concern in the domestic and foreign researchers. Bistatic radar draws on the great success of MIMO technology in the communications field, and it has many advantages over conventional radar. The direction angles estimations of bistatic MIMO radar are researched. To contrast traditional radar DOA estimates, the direction vector of the bistatic MIMO radar is the Knonecker plot of the emission vector and reception vector, that two-dimensional direction angles is estimated. To solve this problem, the principle of bistatic MIMO radar signal model is in-depthly researched.By proposing Capon dimensionality reduction method, the two-dimensional directions of the dual-based MIMO radar are estimated, and computer simulation is to verify the effectiveness of the method.

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

Sensors ◽

10.3390/s22020519 ◽

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 [...]

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An improvement to hybrid beamforming precoding scheme for mmWave massive MIMO systems based on channel matrix

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v23.i1.pp285-292 ◽

2021 ◽

Vol 23 (1) ◽

pp. 285

Author(s):

Zahra Amirifar ◽

Jamshid Abouei

Keyword(s):

Massive Mimo ◽

Mimo Systems ◽

Multiple Input Multiple Output ◽

Wireless Systems ◽

Achievable Rate ◽

Percentage Difference ◽

Multiple Input ◽

Input Multiple Output ◽

Hybrid Beamforming ◽

Mimo Technology

<p>The massive multiple-input multiple-output (MIMO) technology has been applied innew generation wireless systems due to growing demand for reliability and high datarate. Hybrid beamforming architectures in both receiver and transmitter, includinganalog and digital precoders, play a significant role in 5G communication networksand have recently attracted a lot of attention. In this paper, we propose a simple andeffective beamforming precoder approach for mmWave massive MIMO systems. Wefirst solve an optimization problem by a simplification subject, and in the second step,we use the covariance channel matrixfCk=Cov(Hk)andBk=HkHHkinstead of chan-nel matrixHk. Simulation results verify that the proposed scheme can enjoy a highersum rate and energy efficiency than previous methods such as spatially sparse method,analog method, and conventional hybrid method even with inaccurate Channel StateInformation (CSI). Percentage difference of the achievable rate ofCk=Cov(Hk)andBk=HkHHkschemes compared to conventional methods are 2.51% and 48.94%, re-spectively.</p>

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Massive MIMO and Hybrid Optimization for It's Beamforming

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.c6232.098319 ◽

2019 ◽

Vol 8 (3) ◽

pp. 7692-7698

Keyword(s):

Wireless Communication ◽

High Throughput ◽

Communication System ◽

High Speed ◽

Multiple Input Multiple Output ◽

Research Work ◽

Network Capacity ◽

Multiple Input ◽

Input Multiple Output ◽

Mimo Technology

The tremendous growth of traffic in wireless communication (WC) system has resulted in inadequate network capacity. 5th Generation (5G) is seen as next generation wireless communication system implemented with massive multiple-input multiple-output (M-MIMO) technology. It will play major role in future communication system. M-MIMO objective is high throughput and high speed. Beamforming technique is a key to high throughput objective - achieved by reduction in errors occurring in data transmission and reception. The intent of this research paper is to review - beam forming techniques implemented in M-MIMO and research work in this particular area. Paper classifies optimized beamforming techniques in detail for determining appropriate techniques that can be deployed in M-MIMO. Understanding limitations of present techniques and suggesting new approach for better throughput is outcome of retrospective analysis.

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Linear Precoding Designs for MIMO VLC Using Multi-Color LEDs under Multiple Lighting Constraints

Crystals ◽

10.3390/cryst8110408 ◽

2018 ◽

Vol 8 (11) ◽

pp. 408 ◽

Cited By ~ 3

Author(s):

Ye Xiao ◽

Yi-Jun Zhu ◽

Zheng-Guo Sun

Keyword(s):

High Speed ◽

Mean Squared Error ◽

Transmission Rate ◽

Multiple Input Multiple Output ◽

Visible Light Communication ◽

Mimo Channel ◽

Practical Applications ◽

Multiple Input ◽

Input Multiple Output ◽

Mimo Technology

Multiple-input multiple-output (MIMO) technology as an efficient approach to improve the transmission rate in visible light communication (VLC) has been well studied in recent years. In this paper, we focus on the MIMO VLC system using multi-color LEDs in the typical indoor scenario. Besides the correlation of the MIMO channel, the multi-color crosstalk interference and quadrangle chromaticity region are also considered to increase the practicality of this system. With the constraints of power, amplitude and chromaticity, an iterative algorithm to minimize mean-squared-error (MSE) is proposed to jointly design the precoder and equalizer. Our proposed algorithm provides an effective method to get the optimal precoder by updating optimization variables iteratively. As the equalizer matrix is fixed at each iteration, the main non-convex precoding design problem is transformed into a convex optimization problem and then solved. With the utilization of multi-color LEDs, our proposed precoding method would be promising to promote the practical applications of high-speed indoor optical wireless communication. Simulation results show that our proposed method owns better performance than conventional chromaticity-fixed schemes and zero-forcing precoding designs.

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