Advances in MIMO Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (15 April 2025) | Viewed by 992

Special Issue Editors


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Guest Editor
Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi-si 39177, Republic of Korea
Interests: next generation wireless communication; MIMO; NOMA; OCDM; AI for wireless networks

E-Mail Website
Guest Editor
Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi-si 39177, Republic of Korea
Interests: 5G & beyond radio access technology; wireless communication and network; embedded system; ICT convergence system etc.
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Special Issue Information

Dear Colleagues,

As the demand for wireless data continues to surge with the global deployment of 5G, research is actively advancing towards 6G to meet even greater performance requirements. A crucial technology at the heart of this evolution is Multiple-Input Multiple-Output (MIMO) systems. MIMO, already pivotal in 5G, will play an even more significant role in 6G by enabling higher data rates, lower latency, enhanced energy efficiency, and increased spectral efficiency.

Recent advances in MIMO technology, such as massive MIMO, reconfigurable intelligent surfaces (RISs), and hybrid beamforming, are shaping the future of wireless communications. These innovations aim to address challenges related to spectrum scarcity, interference, and the massive connectivity demands of IoT, IIoT, and emerging applications like autonomous systems, multisensory extended reality, and holographic rendering. Additionally, the integration of artificial intelligence (AI) and machine learning (ML) techniques into MIMO systems is expected to optimize resource management, beamforming, and signal processing, further pushing the performance boundaries of wireless networks.

This Special Issue will focus on the latest breakthroughs and technical challenges in MIMO systems, particularly in the context of evolving from 5G to 6G. We seek contributions that address cutting-edge developments in MIMO technology, including, but not limited to, novel architectures, AI-enhanced MIMO design, and experimental results from testbeds and field trials. The aim is to gather innovative research that will accelerate the deployment of future MIMO-based wireless networks.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but need not be limited to) the following:

  • Massive MIMO, hybrid beamforming, and distributed MIMO architectures;
  • AI and machine learning techniques for MIMO optimization, including resource allocation, beamforming, and interference management;
  • Reconfigurable intelligent surfaces (RISs) for enhancing MIMO systems;
  • Energy efficiency and green communication strategies in MIMO networks;
  • Advanced modulation and coding schemes for MIMO;
  • Security, privacy, and interference management in MIMO systems;
  • Full-duplex MIMO and its role in 6G;
  • Millimeter-wave and terahertz MIMO technologies;
  • Channel modeling and estimation techniques in MIMO for 5G and beyond;
  • Multi-user MIMO for dense wireless environments;
  • Field trials, testbeds, and real-world applications of advanced MIMO systems;
  • Integration of MIMO with edge computing and AI-driven networks.

We look forward to receiving your contributions.

Dr. Muneeb Ahmad
Prof. Dr. Soo Young Shin
Guest Editors

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Keywords

  • MIMO
  • massive MIMO
  • hybrid beamforming
  • reconfigurable intelligent surfaces
  • AI in MIMO
  • multi-user MIMO
  • millimeter-wave
  • terahertz
  • full-duplex
  • wireless communications

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Published Papers (1 paper)

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Research

17 pages, 677 KiB  
Article
Effectiveness and Characteristics of Virtual Antennas in the Multiple Signal Classification Algorithm
by Riku Takemoto, Jaesang Cha, Incheol Jeong and Chang-Jun Ahn
Electronics 2025, 14(1), 73; https://doi.org/10.3390/electronics14010073 - 27 Dec 2024
Cited by 1 | Viewed by 646
Abstract
This paper proposes a novel direction of arrival (DoA) estimation method based on the Multiple Signal Classification (MUSIC) algorithm using virtual antennas. The MUSIC method is a widely used DoA estimation technique known for its high accuracy and high resolution. However, it has [...] Read more.
This paper proposes a novel direction of arrival (DoA) estimation method based on the Multiple Signal Classification (MUSIC) algorithm using virtual antennas. The MUSIC method is a widely used DoA estimation technique known for its high accuracy and high resolution. However, it has a fundamental limitation: when the necessary condition of having more antenna elements at the base station than users is not met, DoA estimation becomes infeasible. To address this limitation, we introduce the concept of virtual antennas, allowing DoA estimation, even under restricted conditions. Virtual antennas are not physically present but can be virtually arranged, enabling the generation of virtual-received signals similar to those of real array antennas. Through simulation experiments, we demonstrate that our approach enables DoA estimation with the MUSIC algorithm even when its necessary conditions are not satisfied. Additionally, this paper explores the characteristics of virtual antennas in detail. We conduct simulation experiments to examine the differences in estimation accuracy between real and virtual antennas, as well as the impact of virtual antenna arrangement and count on estimation accuracy. The results show that, although virtual antennas provide lower estimation accuracy compared to real antennas, their flexible arrangement allows for improved resolution when signal sources are closely spaced by increasing the spacing between virtual antennas. Furthermore, under Additive White Gaussian Noise (AWGN) conditions, increasing the number of virtual antennas enhances estimation accuracy. Full article
(This article belongs to the Special Issue Advances in MIMO Systems)
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