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Recent Trends and Advances in the Integration of Communication and Sensing

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

Deadline for manuscript submissions: 15 January 2026 | Viewed by 456

Special Issue Editors


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Guest Editor
School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
Interests: non-orthogonal multiple access (NOMA) schemes; physical layer security; backscatter communication for internet of things; reconfigurable intelligent metasurfaces for 6G communications; ultra-reliable and low-latency communication (URLLC); unmanned aerial vehicle (UAV) communication; hardware-constrained communication systems; unmanned aerial vehicle communication; multiple-input multiple-output (MIMO); energy harvesting
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
Interests: integrated sensing and wireless communication designs; antenna array; physical-layer security; emerging modulation techniques

E-Mail Website
Guest Editor
School of Information Science and Engineering, Southeast University, Nanjing, China
Interests: artificial intelligence-based image/video signal processing; algorithm design; wireless communications; cyberspace security theories and techniques
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid convergence of communication and sensing technologies, integrated communication and sensing systems have shown broad application potential in intelligent networks and the Internet of Things. To advance theoretical innovation and technological progress in this field, this Special Issue invites authors to submit original research papers on integrated communication and sensing systems. Topics of interest include, but are not limited to, fundamental information-theoretic limits; advanced signal processing algorithms; spectrum sharing and resource management; security and privacy issues; system architectures and hardware implementations; AI-driven integration techniques; application scenarios such as autonomous driving, smart cities, and industrial IoT; and emerging standards and protocol developments. We welcome high-quality contributions from the fields of communications, signal processing, artificial intelligence, and related disciplines to foster interdisciplinary exchange and collaboration and promote the development and application of integrated communication and sensing technologies.

The topics of interest include, but are not limited to, the following:

  1. Fundamental information-theoretic limits for integrated sensing and communication systems;
  2. The application potential of integrated sensing and communication across various scenarios;
  3. Challenges and solutions in deploying integrated sensing and communication in real-world applications;
  4. Advanced signal processing algorithms in the integration of communication and sensing;
  5. Spectrum sharing and resource management in the integration of communication and sensing;
  6. Security and privacy issues in integrated communication and sensing systems;
  7. Applications of integrated sensing and communication in autonomous vehicles, smart cities, and IoT;
  8. Emerging standards and protocols for the integration of communication and sensing;
  9. Hardware and implementation requirements of the integration of communication and sensing;
  10. AI for enhancing integrated sensing and communication systems;
  11. Emerging techniques and architectures for integrated communication and sensing systems;
  12. Advanced signal processing algorithms in the integration of communication and sensing.

Dr. Xingwang Li
Dr. Gaojian Huang
Prof. Dr. Chunguo Li
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

  • integrated sensing and communication systems
  • IoT
  • AI-driven integration techniques

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Published Papers (1 paper)

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Research

27 pages, 1577 KB  
Article
Near-Field Channel Parameter Estimation and Localization for mmWave Massive MIMO-OFDM ISAC Systems via Tensor Analysis
by Lanxiang Jiang, Jingyi Guan, Jianhe Du, Wei Jiang and Yuan Cheng
Sensors 2025, 25(16), 5050; https://doi.org/10.3390/s25165050 - 14 Aug 2025
Viewed by 214
Abstract
Integrated Sensing And Communication (ISAC) has been applied to the Internet of Things (IoT) network as a promising 6G technology due to its ability to enhance spectrum utilization and reduce resource consumption, making it ideal for high-precision sensing applications. However, while the introduction [...] Read more.
Integrated Sensing And Communication (ISAC) has been applied to the Internet of Things (IoT) network as a promising 6G technology due to its ability to enhance spectrum utilization and reduce resource consumption, making it ideal for high-precision sensing applications. However, while the introduction of millimeter Wave (mmWave) and massive Multiple-Input Multiple-Output (MIMO) technologies can enhance the performance of ISAC systems, they extend the near-field region, rendering traditional channel parameter estimation algorithms ineffective due to the spherical wavefront channel model. Aiming to address the challenge, we propose a tensor-based channel parameter estimation and localization algorithm for the near-field mmWave massive MIMO-Orthogonal Frequency Division Multiplexing (OFDM) ISAC systems. Firstly, the received signal at the User Terminal (UT) is constructed as a third-order tensor to retain the multi-dimensional features of the data. Then, the proposed tensor-based algorithm achieves the channel parameter estimation and target localization by exploiting the second-order Taylor expansion and intrinsic structure of tensor factor matrices. Furthermore, the Cramér–Rao Bounds (CRBs) of channel parameters and position are derived to establish the lower bound of errors. Simulation results show that the proposed tensor-based algorithm is superior compared to the existing algorithms in terms of channel parameter estimation and localization accuracy in ISAC systems for IoT network, achieving errors that approach the CRBs. Specifically, the proposed algorithm attains a 79.8% improvement in UT positioning accuracy compared to suboptimal methods at SNR = 5 dB. Full article
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