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Advances in Mimo and Millimeter-Wave Sensing Communication Systems

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

Deadline for manuscript submissions: closed (30 January 2023) | Viewed by 2946

Special Issue Editors


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Guest Editor
1. Center for Cyber-Physical Systems, Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi 127788, United Arab Emirates
2. Electrical and Computer Engineering Department, University at Albany, Albany, NY 12222, USA
Interests: 5G cellular wireless networks; cognitive wireless networks; multiple access techniques

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Guest Editor
1. Center for Cyber-Physical Systems, Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi 127788, United Arab Emirates
2. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada
Interests: advanced digital signal processing techniques for wireless communications; RIS; 5G and beyond; MIMO; optical communications; IoT with emphasis on battery-free devices; machine learning
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310058, China
Interests: Wireless communications

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Guest Editor
1. Future Technology Research Center, National Yunlin University of Science and Technology (YunTech), Yunlin 64002, Taiwan
2. Department of Computer Engineering, Federal University of Ceara (UFC), 60020-180 Fortaleza, Brazil
Interests: Channel Modeling and Characterization; Multiple-Input Multiple-Output (MIMO) Systems; Cognitive Radio; Unmanned Aerial Vehicle (UAV) Networks

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Guest Editor
James Watt School of Engineering, University of Glasgow, Scotland G12 8QQ, UK
Interests: 5G and B5G wireless communications; machine learning; signal processing; green wireless networks; Internet of Things
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Millimeter-wave (mmWave) technologies represent a cornerstone for future wireless systems (i.e., beyond 5G and 6G) and are widely recognized as a promising solution to confront the wireless data explosion. This is attributed to their operation at frequencies exceeding tens or even hundreds of GHz, where the spectrum is less crowded. Their intrinsically shorter wavelength, wider bandwidth, and larger antenna aperture make them especially appealing in RF sensing applications in the security, health, and automotive domains. The deployment of mmWave systems is broadly coupled with massive multiple-input multiple-output (MIMO) technology, which is exploited to compensate for the severe propagation path loss at the mmWave spectral band.

Recently, mmWave-based devices have been widely recognized to serve as RF sensors for achieving a near-vision sensing resolution. In this capacity, through a MIMO array of phased arrays with hundreds of antenna elements, mmWave can significantly boost wireless data rates to more than a hundred Gbps. To unlock the full potential of MIMO and mmWave sensing communications, several challenges need to be addressed. For example, great attention should be paid to the development of effective channel estimation techniques that take into account possibly very large MIMO channels. Another aspect is the need to develop advanced sensors for spatially correlated channels and to increase the spectral efficiency.

This Special Issue is devoted to showcasing contributions from researchers and practitioners in the area of wireless communications, with an emphasis on new approaches, emergent technologies, and relevant implementations and applications in the field of MIMO and mmWave sensing communication systems. We seek high-quality original research papers on topics including, but not limited to:

  • Wireless power transfer in mmWave massive MIMO systems
  • MIMO mmWave for HAPS and LEO satellite systems
  • Millimeter-Wave joint radar communications
  • Millimeter-wave vehicular communications
  • Security and privacy issues in sensing for mmWave MIMO communications;
  • AI-inspired control and orchestration for smart sensing;
  • MIMO detection for reconfigurable intelligent surface (RIS)-assisted mmWave systems;
  • Interference cancellation mechanisms;
  • Algorithms for reconfigurable beam patterns and communication/sensing;
  • Experimental demonstrations and prototypes;
  • Sensing algorithms and protocols for location-based services and applications;
  • Channel tracking for UAV positioning and navigation;
  • Compressive sensing for channel estimation;
  • Sensing mechanisms for autonomous vehicles;
  • Communication-theoretic foundation of MIMO and mmWave sensing communications;
  • Integration of mmWave MIMO sensing with state-of-the-art wireless technologies/applications (e.g., small cells, massive-MIMO, machine-type communications, visible light communications, Internet of Things);
  • Sensing for holographic MIMO surface-assisted mmWave communications.

Dr. Lina Bariah
Prof. Dr. Sami Muhaidat
Prof. Dr. Caijun Zhong
Prof. Dr. Daniel B. da Costa
Dr. Lina Mohjazi
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
  • mmWave communications
  • Smart sensing
  • Signal processing
  • Machine learning
  • Channel estimation
  • Compressed sensing
  • Sparse channels
  • Spatial diversity
  • Antenna array

Published Papers (1 paper)

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Research

15 pages, 5912 KiB  
Article
A Novel Approach for Direction of Arrival Estimation in Co-Located MIMO Radars by Exploiting Extended Array Manifold Vectors
by Sadiq Akbar, Muhammad Sohail, Fawad Zaman, Muhammad Abdul Rehman Khan, Nopdanai Ajavakom and Gridsada Phanomchoeng
Sensors 2023, 23(5), 2550; https://doi.org/10.3390/s23052550 - 24 Feb 2023
Cited by 1 | Viewed by 1546
Abstract
Multiple-input multiple-output (MIMO) radars enable better estimation accuracy with improved resolution in contrast to traditional radar systems; thus, this field has attracted attention in recent years from researchers, funding agencies, and practitioners. The objective of this work is to estimate the direction of [...] Read more.
Multiple-input multiple-output (MIMO) radars enable better estimation accuracy with improved resolution in contrast to traditional radar systems; thus, this field has attracted attention in recent years from researchers, funding agencies, and practitioners. The objective of this work is to estimate the direction of arrival of targets for co-located MIMO radars by proposing a novel approach called flower pollination. This approach is simple in concept, easy to implement and has the capability of solving complex optimization problems. The received data from the far field located targets are initially passed through the matched filter to enhance the signal-to-noise ratio, and then the fitness function is optimized by incorporating the concept of virtual or extended array manifold vectors of the system. The proposed approach outperforms other algorithms mentioned in the literature by utilizing statistical tools for fitness, root mean square error, cumulative distribution function, histograms, and box plots. Full article
(This article belongs to the Special Issue Advances in Mimo and Millimeter-Wave Sensing Communication Systems)
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