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 3986
Special Issue Editors
2. Electrical and Computer Engineering Department, University at Albany, Albany, NY 12222, USA
Interests: 5G cellular wireless networks; cognitive wireless networks; multiple access techniques
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
Interests: Wireless communications
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
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
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Keywords
- MIMO
- mmWave communications
- Smart sensing
- Signal processing
- Machine learning
- Channel estimation
- Compressed sensing
- Sparse channels
- Spatial diversity
- Antenna array
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