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MIMO Technologies in Sensors and Wireless Communication Applications: 2nd Edition
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MIMO Technologies in Sensors and Wireless Communication Applications: 2nd Edition

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

Deadline for manuscript submissions: 20 July 2025 | Viewed by 2349

Special Issue Editors

Dr. Xinyu Zhou

E-Mail Website
Guest Editor
Department of Electronic and Information Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China
Interests: broadband high-efficiency and high-linearity GaN power amplifiers in RF and millimeter-wave; integrated circuits; microwave passive circuits
Special Issues, Collections and Topics in MDPI journals
Dr. Wing-Shing Chan

E-Mail Website
Guest Editor
Department of Electrical Engineering, City University of Hong Kong, Hong Kong 999077, China
Interests: microwave amplifier; microwave components
Special Issues, Collections and Topics in MDPI journals
Dr. Liheng Zhou

E-Mail Website
Guest Editor
School of Information Science and Technology, Nantong University, Nantong 226019, China
Interests: microwave device; sub system
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Multiple-input and multiple-output has been around for a few decades but has only received widespread use recently in WLAN, 3G, 4G and 5G mobile radio and applications in IoT. Interest in MIMO is mainly due to its increased capacity, which can be many folds, limited only by the technology available. The need to further increase capacity and data speed have pushed its use in ever higher frequencies where the bandwidth is larger and the antenna size is smaller. Interest has been further ignited by the speed of IoT adoption and its current use in 5G and future use in 6G mobile radio where data speed will be ever higher and latency ever shorter.

This Special Issue aims to publish original state-of-the-art research and review articles on MIMO Technologies in Sensors and Wireless Communication Applications in both microwave and mmW frequency bands.

Potential topics include, but are not limited to, the following:

  • MIMO architectures;
  • Transmit/receive architectures;
  • Power amplifiers;
  • Low-noise amplifiers;
  • Switches;
  • Diplexers;
  • Antennas;
  • Antenna arrays;
  • Beam-forming networks;
  • Use of AI in MIMO technology;
  • Use of machine learning in MIMO technology;
  • Low-power techniques.

Dr. Xinyu Zhou
Dr. Wing-Shing Chan
Dr. Liheng Zhou
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 100 words) can be sent to the Editorial Office for announcement on this website.

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
  • antennas
  • microwave 

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Related Special Issue

Published Papers (3 papers)

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Research

16 pages, 927 KiB  
Article
Cross-Layer Stream Allocation of mMIMO-OFDM Hybrid Beamforming Video Communications
by You-Ting Chen, Shu-Ming Tseng, Yung-Fang Chen and Chao Fang
Sensors 2025, 25(8), 2554; https://doi.org/10.3390/s25082554 - 17 Apr 2025
Viewed by 205
Abstract
This paper proposes a source encoding rate control and cross-layer data stream allocation scheme for uplink millimeter-wave (mmWave) multi-user massive MIMO (MU-mMIMO) orthogonal frequency division multiplexing (OFDM) hybrid beamforming video communication systems. Unlike most previous studies that focus on the downlink scenario, our [...] Read more.
This paper proposes a source encoding rate control and cross-layer data stream allocation scheme for uplink millimeter-wave (mmWave) multi-user massive MIMO (MU-mMIMO) orthogonal frequency division multiplexing (OFDM) hybrid beamforming video communication systems. Unlike most previous studies that focus on the downlink scenario, our proposed scheme optimizes the uplink transmission while also addressing the limitation of prior works that only consider single-data-stream users. A key distinction of our approach is the integration of cross-layer resource allocation, which jointly considers both the physical layer channel state information (CSI) and the application layer video rate-distortion (RD) function. While traditional methods optimize for spectral efficiency (SE), our proposed method directly maximizes the peak signal-to-noise ratio (PSNR) to enhance video quality, aligning with the growing demand for high-quality video communication. We introduce a novel iterative cross-layer dynamic data stream allocation scheme, where the initial allocation is based on conventional physical-layer data stream allocation, followed by iterative refinement. Through multiple iterations, users with lower PSNR can dynamically contend for data streams, leading to a more balanced and optimized resource allocation. Our approach is a general framework that can incorporate any existing physical-layer data stream allocation as an initialization step before iteration. Simulation results demonstrate that the proposed cross-layer scheme outperforms three conventional physical-layer schemes by 0.4 to 1.14 dB in PSNR for 4–6 users, at the cost of a 1.8 to 2.3× increase in computational complexity (requiring 3.6–5.8 iterations). Full article
(This article belongs to the Special Issue MIMO Technologies in Sensors and Wireless Communication Applications: 2nd Edition)
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20 pages, 8736 KiB  
Article
High-Performance Series-Fed Array Multiple-Input Multiple-Output Antenna for Millimeter-Wave 5G Networks
by Nabeel Alsaab, Khaled Alhassoon, Fahd Alsaleem, Fahad Nasser Alsunaydih, Sayed O. Madbouly, Sherif A. Khaleel, Allam M. Ameen and Mahmoud Shaban
Sensors 2025, 25(4), 1036; https://doi.org/10.3390/s25041036 - 9 Feb 2025
Cited by 2 | Viewed by 876
Abstract
This research presents a high-performance design for a multiple-input multiple-output (MIMO) antenna intended for operation within the 28 GHz band. The four-port MIMO antenna configuration, featuring 1 × 8 series-fed arrays for each port, has demonstrated peak gains of 15.5 dBi and bandwidths [...] Read more.
This research presents a high-performance design for a multiple-input multiple-output (MIMO) antenna intended for operation within the 28 GHz band. The four-port MIMO antenna configuration, featuring 1 × 8 series-fed arrays for each port, has demonstrated peak gains of 15.5 dBi and bandwidths of 2 GHz. This improved antenna performance results from carefully optimized antenna spacing and a decoupling approach involving well-designed metamaterial cells, effectively minimizing interference between antenna elements. The system exhibits remarkably low mutual coupling, measuring below −40 dB, with envelope correlation coefficients of 0.00010, diversity gains nearing 10 dB, and a channel loss capacity of 0.11 bit/s/Hz across the frequency spectrum under investigation. Experimental evaluations have confirmed these improvements, establishing the proposed design as a robust candidate suitable for a wide range of millimeter-wave communication systems. Full article
(This article belongs to the Special Issue MIMO Technologies in Sensors and Wireless Communication Applications: 2nd Edition)
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19 pages, 1528 KiB  
Article
A Novel Approach for Improving XML Querying over Wireless Broadcast Channels
by Vinay Kumar Ahlawat, Gaurav Agarwal, Vikas Goel, Akash Sanghi, Sun Young Choi, Kueh Lee Hui and Mangal Sain
Sensors 2024, 24(22), 7206; https://doi.org/10.3390/s24227206 - 11 Nov 2024
Viewed by 768
Abstract
The querying of large XML data over wireless broadcast channels can reduce bandwidth utilization, cause significant latency, and produce inefficient energy usage. This paper proposes a scheme to improve XML querying over wireless broadcast channels in order to address the issues mentioned above. [...] Read more.
The querying of large XML data over wireless broadcast channels can reduce bandwidth utilization, cause significant latency, and produce inefficient energy usage. This paper proposes a scheme to improve XML querying over wireless broadcast channels in order to address the issues mentioned above. Various techniques, including partitioning, load balancing, and query routing, have been combined into one approach. The proposed scheme partitions the XML data stream into several partitions based on criteria like document size, type, or content. Each partition is routed to a separate channel to balance the load on each wireless broadcast channel. A query routing mechanism that directs queries to the right channel or combination of channels that hold the relevant XML data partition was implemented. This study simulates, evaluates, and compares the proposed scheme’s performance. The results from the comparison study with existing schemes demonstrate a considerable reduction in the access time for XML querying via wireless broadcast channels. Full article
(This article belongs to the Special Issue MIMO Technologies in Sensors and Wireless Communication Applications: 2nd Edition)
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