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Electronics
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Advances in MIMO Communication
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Advances in MIMO Communication

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

Deadline for manuscript submissions: 15 March 2026 | Viewed by 1190

Special Issue Editor

Dr. Adeeb Salh

E-Mail Website
Guest Editor
Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman (UTAR), Kampar 31900, Malaysia
Interests: 5G and 6G wireless communications; massive MIMO; artificial intelligence (AI); the Internet of Things (IoT)

Special Issue Information

Dear Colleagues,

This Special Issue focuses on recent breakthroughs and innovative research in Multiple-Input Multiple-Output (MIMO) communication systems, which are the foundation of high-capacity, reliable wireless networks. As a key enabler of 5G, 6G, and beyond, MIMO technology promotes advancements in spectral efficiency, data throughput, and network robustness. We welcome original research and comprehensive reviews that address next-generation MIMO architectures, advanced signal processing, AI-driven beamforming, and real-world deployments in applications such as IoT, vehicular networks, satellite systems, and massive machine-type communications (mMTC). We welcome contributions that propose energy-efficient, scalable, and intelligent solutions to current and future MIMO challenges.

Dr. Adeeb Salh
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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. Electronics 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 2400 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 systems
  • massive MIMO
  • beamforming
  • spatial multiplexing
  • channel estimation
  • 5G and 6G communications
  • intelligent reflecting surfaces (IRS)
  • energy-efficient MIMO
  • reconfigurable antennas
  • machine learning in MIMO

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Published Papers (2 papers)

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Research

20 pages, 2676 KB  
Article
Memory-Efficient Iterative Signal Detection for 6G Massive MIMO via Hybrid Quasi-Newton and Deep Q-Networks
by Adeb Salh, Mohammed A. Alhartomi, Ghasan Ali Hussain, Fares S. Almehmadi, Saeed Alzahrani, Ruwaybih Alsulami and Abdulrahman Amer
Electronics 2025, 14(24), 4832; https://doi.org/10.3390/electronics14244832 - 8 Dec 2025
Viewed by 216
Abstract
The advent of Sixth Generation (6G) wireless communication systems demands unprecedented data rates, ultra-low latency, and massive connectivity to support emerging applications such as extended reality, digital twins, and ubiquitous intelligent services. These stringent requirements call for the use of massive Multiple-Input Multiple-Output [...] Read more.
The advent of Sixth Generation (6G) wireless communication systems demands unprecedented data rates, ultra-low latency, and massive connectivity to support emerging applications such as extended reality, digital twins, and ubiquitous intelligent services. These stringent requirements call for the use of massive Multiple-Input Multiple-Output (m-MIMO) systems with hundreds or even thousands of antennas, which introduce substantial challenges for signal detection algorithms. Conventional linear detectors, especially the linear Minimum Mean Square Error (MMSE) detectors, face prohibitive computational complexity due to high-dimensional matrix inversions, and their performance remains inherently restricted by the limitations of linear processing. The current research suggested an Iterative Signal Detection (ISD) algorithm with significant limitations being occupied with the combination of Deep Q-Network (DQN) and Quasi-Newton algorithms. The method incorporates the Broyden-Net, which could be faster with less memory training than the model in the case of spatially correlated channels, a Quasi-Newton method, and DQN to improve the m-MIMO detection. The proposed techniques support the computational efficiency of realistic 6G systems and outperform linear detectors. The simulation findings proved that the DQN-improved Quasi-Newton algorithm is more appropriate than traditional algorithms, since it combines the reward design, limited memory updates, and adaptive interference mitigation to shorten convergence time by 60% and increase the confrontation to correlated fading. Full article
(This article belongs to the Special Issue Advances in MIMO Communication)
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22 pages, 3837 KB  
Article
Enhancing Substation Protection Reliability Through Economical Redundancy Schemes
by Husam S. Samkari
Electronics 2025, 14(20), 4097; https://doi.org/10.3390/electronics14204097 - 19 Oct 2025
Viewed by 594
Abstract
This paper proposes an economical scheme to provide redundancy for protection in digital power sub-transmission and distribution substations. The scheme is based on Ethernet communication networks and uses the International Electrotechnical Commission (IEC) standard 61850 sampled values (SV). This redundancy scheme develops a [...] Read more.
This paper proposes an economical scheme to provide redundancy for protection in digital power sub-transmission and distribution substations. The scheme is based on Ethernet communication networks and uses the International Electrotechnical Commission (IEC) standard 61850 sampled values (SV). This redundancy scheme develops a method for alternative sources of the SV measurements for feeder and bus relays. The objective is to use the same number of intelligent electronic devices (IEDs), also referred to as merging units (MUs), while improving the overall reliability of substation protection. The multisource-based proposed scheme does not require two sets of MUs for redundancy. Instead, each MU is used to back up an adjacent MU. For instance, in a substation using IEC 61850, the protection relay can automatically switch to another available SV stream without interrupting the protection function if an MU fails. This dynamic reconfiguration capability, which ensures the system’s adaptability to changing conditions, is particularly valuable in maintaining system reliability during equipment failures. It allows for real-time adaptation to changing conditions within the substation. The paper evaluates the reliability of the proposed scheme using fault tree analysis (FTA). For demonstration, commercially available MUs and relays are connected to the Real-Time Digital Simulator (RTDS) for hardware-in-the-loop testing. Full article
(This article belongs to the Special Issue Advances in MIMO Communication)
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