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Massive MIMO Systems for 5G and beyond 5G Communication Networks

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".

Deadline for manuscript submissions: closed (28 February 2024) | Viewed by 7987

Special Issue Editors


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Guest Editor
Department of Electrical Engineering and Information Technologies, University of Naples Federico II, 80125 Naples, Italy
Interests: RF measurement; EMC measurements; measurements for human exposure to electromagnetic fields; measurements for 5G mobile systems; cellular communications; measurement for massive MIMO

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Guest Editor
Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy
Interests: RF measurements; EMC measurements; measurements for network and traffic analysis; measurements for cyber security; measurements for modern telecommunication systems; spectrum sensing for cognitive radios
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Guest Editor
Ericsson Research, Ericsson AB, 16440 Stockholm, Sweden
Interests: research and standardization about RF exposure from wireless communication equipment; dosimetry

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Guest Editor
Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia
Interests: EMF monitoring; RF measurement; measurements for human exposure to EMF; measurements for 5G mobile systems; cellular communications; standardization for RF exposure

Special Issue Information

Dear Colleagues,

MIMO (multiple-input and multiple-output) systems are vital for technology in mobile communications, which increase spectrum efficiency and data rates. Spatial multiplexing of signals, one of the most significant features of MIMO systems, can provide higher reliability of wireless links and can be exploited to serve more users than any previous mobile communication technology. MIMO is adopted in almost every wireless network, such as Wi-Fi, 4G and 5G, and IoT, and will provide the basis for next generation (i.e., beyond 5G) networks.

The aim of this Special Issue is to present the current research on design and implementation of MIMO systems, with a perspective view on future trends for 6G communications. Topics of the submitted papers may include but are not limited to: MIMO antenna array design and characterization; radio wave propagation; multiuser and massive MIMO systems; energy efficiency; small cells and heterogeneous cells; applications of mm wave and sub-THz frequencies; MIMO for IoT and emerging technologies; application of artificial intelligence and machine learning to MIMO systems; measurements on modern Wi-Fi networks and systems; cognitive radio systems; measurement and assessment of electromagnetic field exposure generated by MIMO; 5G signals measurement methodologies; power monitoring and control systems for base stations; cell-free distributed MIMO; and beyond 5G communication systems, toward 6G.

Prof. Dr. Nicola Pasquino
Dr. Domenico Capriglione
Davide Colombi
Prof. Dr. Nikola Djuric
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • MIMO and massive MIMO antenna
  • 5G and beyond
  • mobile communication
  • radio frequency electromagnetic field exposure assessment and measurement
  • measurements in communication networks

Published Papers (3 papers)

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13 pages, 3700 KiB  
Article
Hybrid Beamforming in Massive MIMO for Next-Generation Communication Technology
by Shahid Hamid, Shakti Raj Chopra, Akhil Gupta, Sudeep Tanwar, Bogdan Cristian Florea, Dragos Daniel Taralunga, Osama Alfarraj and Ahmed M. Shehata
Sensors 2023, 23(16), 7294; https://doi.org/10.3390/s23167294 - 21 Aug 2023
Cited by 5 | Viewed by 2658
Abstract
Hybrid beamforming is a viable method for lowering the complexity and expense of massive multiple-input multiple-output systems while achieving high data rates on track with digital beamforming. To this end, the purpose of the research reported in this paper is to assess the [...] Read more.
Hybrid beamforming is a viable method for lowering the complexity and expense of massive multiple-input multiple-output systems while achieving high data rates on track with digital beamforming. To this end, the purpose of the research reported in this paper is to assess the effectiveness of the three architectural beamforming techniques (Analog, Digital, and Hybrid beamforming) in massive multiple-input multiple-output systems, especially hybrid beamforming. In hybrid beamforming, the antennas are connected to a single radio frequency chain, unlike digital beamforming, where each antenna has a separate radio frequency chain. The beam formation toward a particular angle depends on the channel state information. Further, massive multiple-input multiple-output is discussed in detail along with the performance parameters like bit error rate, signal-to-noise ratio, achievable sum rate, power consumption in massive multiple-input multiple-output, and energy efficiency. Finally, a comparison has been established between the three beamforming techniques. Full article
(This article belongs to the Special Issue Massive MIMO Systems for 5G and beyond 5G Communication Networks)
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19 pages, 3271 KiB  
Article
Joint User Clustering and Graph Coloring Based Pilot Assignment for Cell-Free Massive MIMO Systems
by Xinyu Huang, Yubo Wang, Shiyong Chen, Yan Li and Yucheng Wu
Sensors 2023, 23(11), 5014; https://doi.org/10.3390/s23115014 - 23 May 2023
Cited by 1 | Viewed by 1077
Abstract
Pilot contamination due to pilot reuse seriously mitigates the performance of the cell-free massive multiple-input multiple-output (MIMO) systems. In this paper, we propose a joint pilot assignment scheme that employs user clustering and graph coloring (UC-GC) to reduce pilot contamination. The proposed method [...] Read more.
Pilot contamination due to pilot reuse seriously mitigates the performance of the cell-free massive multiple-input multiple-output (MIMO) systems. In this paper, we propose a joint pilot assignment scheme that employs user clustering and graph coloring (UC-GC) to reduce pilot contamination. The proposed method consists of two steps: firstly, we utilize AP selection to classify all users; secondly, we assign pilots to users with more severe pilot contamination using the graph coloring algorithm and then assign pilots to the remaining users. The numerical simulation results show that the proposed scheme outperforms existing pilot assignment schemes and significantly improves throughout with low complexity. Full article
(This article belongs to the Special Issue Massive MIMO Systems for 5G and beyond 5G Communication Networks)
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22 pages, 8728 KiB  
Perspective
Technology Trends for Massive MIMO towards 6G
by Yiming Huo, Xingqin Lin, Boya Di, Hongliang Zhang, Francisco Javier Lorca Hernando, Ahmet Serdar Tan, Shahid Mumtaz, Özlem Tuğfe Demir and Kun Chen-Hu
Sensors 2023, 23(13), 6062; https://doi.org/10.3390/s23136062 - 30 Jun 2023
Cited by 12 | Viewed by 3538
Abstract
At the dawn of the next-generation wireless systems and networks, massive multiple-input multiple-output (MIMO) in combination with leading-edge technologies, methodologies, and architectures are poised to be a cornerstone technology. Capitalizing on its successful integration and scalability within 5G and beyond, massive MIMO has [...] Read more.
At the dawn of the next-generation wireless systems and networks, massive multiple-input multiple-output (MIMO) in combination with leading-edge technologies, methodologies, and architectures are poised to be a cornerstone technology. Capitalizing on its successful integration and scalability within 5G and beyond, massive MIMO has proven its merits and adaptability. Notably, a series of evolutionary advancements and revolutionary trends have begun to materialize in recent years, envisioned to redefine the landscape of future 6G wireless systems and networks. In particular, the capabilities and performance of future massive MIMO systems will be amplified through the incorporation of cutting-edge technologies, structures, and strategies. These include intelligent omni-surfaces (IOSs)/intelligent reflecting surfaces (IRSs), artificial intelligence (AI), Terahertz (THz) communications, and cell-free architectures. In addition, an array of diverse applications built on the foundation of massive MIMO will continue to proliferate and thrive. These encompass wireless localization and sensing, vehicular communications, non-terrestrial communications, remote sensing, and inter-planetary communications, among others. Full article
(This article belongs to the Special Issue Massive MIMO Systems for 5G and beyond 5G Communication Networks)
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