Wireless Propagation in Integrated Sensing and Communication Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 108
Special Issue Editor
Interests: signal processing algorithms and architectures for wireless communications; machine/deep learning tools for sensing applications; wireless sensor networks for IoT applications; radio vision techniques for detection, localization, and activity recognition of people; body models for radio passive sensing; federated learning algorithms for cooperative and green applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The convergence of signal processing algorithms, sensing devices, and pervasive artificial intelligence tools has paved the way for radically new systems able to integrate both communication and sensing while tackling the complex interactions between humans, machines, and the environment. According to this scenario, wireless propagation models, simulation tools, and experimental verifications in realistic applicative fields play an important role in improving sensing accuracy and providing real-time capability with these new sensing systems.
This Special Issue encourages authors from academia and industry to submit manuscripts on novel methods, models, technologies, experimental field trials, and lesson learned for wireless propagation in sensing scenarios.
This Special Issue includes but is not limited to the following topics:
- mm-Wave, sub-THz, and THz radio propagation models, tools, and experimental field tests for advanced wireless communication and sensing networks;
- Array sensor techniques and architectures for integrated sensing and communication applications;
- Novel sensor technologies for energy-aware wireless devices for integrated sensing and communication applications;
- Real-time applications of wireless communication methods and sensor processing in smart spaces, smart living, and industrial scenarios;
- Beyond 5G (B5G) methods and technologies for integrated radio communication and sensing networks;
- Multi-spectral and multi-domain models, processing techniques, and technologies for integrated sensing and communication applications;
- Machine and deep learning tools and technologies for wireless communication and sensing applications.
Dr. Vittorio Rampa
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 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
- integrated sensing and communication
- radio propagation models
- B5G methods and technologies
- array sensing methods and technologies
- machine learning for sensing and communication
- multi-spectral technologies
- multi-domain technologies
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