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MIMO Systems for Future Wireless Communications
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MIMO Systems for Future Wireless Communications

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

Deadline for manuscript submissions: 30 November 2026 | Viewed by 849

Editors

Prof. Dr. Constantinos Angelis

E-Mail Website
Guest Editor
Department of Informatics and Telecommunications, Campus of Arta, University of Ioannina, 47100 Arta, Greece
Interests: wireless telecommunication systems; MIMO/diversity antennas; 5G/6G antennas; MM-wave phased arrays; signal processing for communication; electronics and communication engineering; radio propagation; antennas; optical wireless communications; wireless sensor networks.; UAV
Special Issues, Collections and Topics in MDPI journals
Dr. Evangelos Spyrou

E-Mail Website
Guest Editor
Department of Informatics and Telecommunications, University of Ioannina, 47150 Arta, Greece
Interests: wireless networks; stochastic network optimization; practical algorithms of wireless parameters
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Multiple-input multiple-output (MIMO) technology has become a fundamental component of modern wireless communication systems. With the rapid evolution of 5G networks and the ongoing research toward 6G communications, MIMO systems continue to play a crucial role in improving spectral efficiency, reliability, and network capacity.

Recent advancements in communication technologies, system architectures, and signal processing techniques are further enhancing the performance and capabilities of next-generation MIMO systems. In particular, emerging technologies such as intelligent omni-surfaces (IOSs) and intelligent reflecting surfaces (IRSs), artificial intelligence (AI)-assisted communications, Terahertz (THz) transmission, and cell-free network architectures are creating new opportunities for advanced wireless networks.

At the same time, the range of applications supported by MIMO technologies is expanding rapidly. These applications include wireless localization and sensing, vehicular communications, non-terrestrial networks, remote sensing, and interplanetary communications, among others.

This Special Issue will present recent advances and emerging developments in MIMO-based wireless communication systems and networks. We invite researchers to submit original research articles or comprehensive review papers addressing theoretical developments, system design, and practical applications related to MIMO technologies.

Prof. Dr. Constantinos Angelis
Dr. Evangelos Spyrou
Guest Editors

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-anonymized 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 antennas
  • MIMO systems
  • 6G wireless systems
  • terahertz (THz) communications
  • cell-free MIMO
  • massive MIMO
  • mmWave/terahertz massive MIMO
  • reconfigurable intelligence surfaces
  • wireless localization and sensing

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Published Papers (2 papers)

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Research

27 pages, 883 KB  
Article
Reconfigurable Transmission Design for PASS-MIMO via Waveguide Indexing
by Yaxian Wang, Songjie Yang and Juhong Peng
Sensors 2026, 26(14), 4407; https://doi.org/10.3390/s26144407 - 11 Jul 2026
Viewed by 263
Abstract
To address the stringent requirements of 6G industrial Internet of Things (IoT) and ultra-dense networks on spectral efficiency, hardware cost, and transmission reliability, this paper investigates waveguide index modulation based on the pinching-antenna system (PASS), a promising flexible multiple-input multiple-output (MIMO) architecture featuring [...] Read more.
To address the stringent requirements of 6G industrial Internet of Things (IoT) and ultra-dense networks on spectral efficiency, hardware cost, and transmission reliability, this paper investigates waveguide index modulation based on the pinching-antenna system (PASS), a promising flexible multiple-input multiple-output (MIMO) architecture featuring large-scale reconfigurability and robust line-of-sight (LoS) link establishment. A two-stage sparse transmission framework is proposed, where a Simulated Annealing-based Constrained Discrete Optimization (SA-CDO) algorithm is first employed to optimize pinching-antenna (PA) positions and construct a near-orthogonal equivalent channel dictionary for inter-waveguide interference suppression. Subsequently, an Orthogonal Least Squares-based Constellation-Constrained (OLS-CC) detector is developed to jointly recover active waveguide indices and modulation symbols with low computational complexity. Monte Carlo simulations demonstrate that the proposed scheme consistently outperforms conventional antenna index modulation under both LoS and Rician fading channels across the entire SNR range. The SA-CDO optimization significantly reduces the bit error rate (BER), while the OLS-CC detector further improves sparse recovery accuracy and reduces the detection complexity from exponential to polynomial order. These results provide valuable insights for the design of highly reliable 6G IoT communication systems. Full article
(This article belongs to the Special Issue MIMO Systems for Future Wireless Communications)
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30 pages, 9092 KB  
Article
Harmful Cooperation in Relay-Assisted MIMO Under Imperfect CSI
by Nikolaos Mouziouras, Constantinos T. Angelis, Andreas Tsormpatzoglou and Evangelos Spyrou
Sensors 2026, 26(13), 4061; https://doi.org/10.3390/s26134061 - 26 Jun 2026
Viewed by 287
Abstract
This paper investigates the performance of cooperative multiple-input multiple-output (MIMO) systems under practical operating impairments, with particular emphasis on imperfect channel state information (CSI) and relay decoding errors. Although Decode-and-Forward (DF) relaying can provide diversity gains under ideal assumptions, these gains may significantly [...] Read more.
This paper investigates the performance of cooperative multiple-input multiple-output (MIMO) systems under practical operating impairments, with particular emphasis on imperfect channel state information (CSI) and relay decoding errors. Although Decode-and-Forward (DF) relaying can provide diversity gains under ideal assumptions, these gains may significantly degrade in practical wireless environments affected by channel uncertainty. The analysis demonstrates that imperfect CSI introduces residual interference, leading to SINR saturation and BER error floors in the high-SNR regime. In cooperative systems, this degradation becomes more severe due to relay error propagation, where erroneously detected relay symbols introduce additional structured interference at the destination. Consequently, cooperative transmission may underperform direct MIMO communication within specific SNR operating regimes. To characterize this behavior, the concept of a harmful cooperation region is introduced, describing the operating regime in which the combined effects of CSI uncertainty and relay decoding errors render cooperation detrimental. To mitigate these limitations, a reliability-aware relay activation mechanism is proposed, enabling selective relay participation according to channel quality. By suppressing unreliable relay transmissions, the proposed approach significantly reduces error propagation and improves BER performance, particularly in the medium-to-high SNR regime. In addition, the impact of antenna scaling is investigated. The results reveal a robustness transition in which larger MIMO configurations exhibit improved resilience to CSI imperfections due to increased spatial diversity and improved channel conditioning. Overall, the findings demonstrate that cooperative transmission under imperfect CSI is inherently SNR-dependent and that robust system design requires the joint consideration of channel uncertainty, relay reliability, and system dimension. Full article
(This article belongs to the Special Issue MIMO Systems for Future Wireless Communications)
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