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Integrated Sensing and Communications for Next-Generation Networks

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

Deadline for manuscript submissions: closed (25 October 2023) | Viewed by 2176

Special Issue Editors


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Guest Editor
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China
Interests: integrated sensing and communications

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Guest Editor
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China
Interests: learning (artificial intelligence); image classification; probability; radar imaging; radio spectrum management; wireless channels; MIMO communication; signal detection; telecommunication security; 5G mobile communication; Doppler radar; channel estimation

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Guest Editor
School of Information and Electronics, Beijing Institute of Technology, Beijing 100080, China
Interests: wireless communications; channel coding; multiple access; physical layer security; joint radar and communications; MIMO systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China
Interests: integrated sensing and communications
Engineering and Information Technology, University of Technology Sydney, Beijing 100080, China
Interests: smart sensing; human activity recognition; person identification; multitask learning; radar micro-doppler signatures

Special Issue Information

Dear Colleagues,

Radar sensing and wireless communication are the most common radio functionalities used by both civilian and military applications. Traditionally, these systems have been designed and developed in isolation from each other. At present, the research trend of integrating radar/sensing with communications has become a new era of information technology, triggering a vast number of innovative applications for remote sensing systems. On the one hand, communication and networking technologies can assist in the acquired results and reducing the system overhead of the current remote sensing systems by fusing the sensing results from widely distributed sensors. Regardless of whether the captured transmission data are figures or device control commands, communication between different devices requires the support of efficient networks and protocols. On the other hand, benefiting from the environmental information extracted from various remote sensing technologies, the communication performance in specified areas can also be improved by exploiting the channel information inferred from the sensory data. Therefore, designing communication and networking technologies while considering the geo-distribution of heterogeneous sensing devices is also critical.

This kind of strategy, namely, integrated sensing and communications (ISAC), is urgently required in many real-world applications because of advantages such as lower cost, reduced size, less power consumption, more flexible spectrum usage, etc. However, these studies are still inadequate, and relevant solutions and techniques are worthy of being developed. Despite drawing huge attention both from academia and industry, many open problems still require investigation. The Special Issue aims to bring together researchers from academia and industry in an effort to identify and discuss the major technical challenges, recent breakthroughs, and new applications related to ISAC. Contributions may be focused on topics including but not limited to the following:

  • Weather monitoring technologies by ISAC;
  • Communication technologies assisted by sensors;
  • Advanced networking technologies assisted by sensors;
  • Network building in extreme environments;
  • Testbed and simulators for ISAC for sensors;
  • Performance evaluation and benchmarks for ISAC with sensors;
  • Security and privacy ISAC;
  • Application of advanced technologies ISAC;
  • Standardization progress of ISAC.

Dr. Yuanhao Cui
Prof. Dr. Xiaojun Jing
Prof. Dr. Zesong Fei
Dr. Qixun Zhang
Dr. Xinyu 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.

Published Papers (1 paper)

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Research

19 pages, 3791 KiB  
Article
Removing False Targets for Cyclic Prefixed OFDM Sensing with Extended Ranging
by Kai Wu, J. Andrew Zhang, Xiaojing Huang and Y. Jay Guo
Sensors 2022, 22(22), 9015; https://doi.org/10.3390/s22229015 - 21 Nov 2022
Viewed by 1616
Abstract
Employing a cyclic prefixed OFDM (CP-OFDM) communication waveform for sensing has attracted extensive attention in vehicular integrated sensing and communications (ISAC). A unified sensing framework was developed recently, enabling CP-OFDM sensing to surpass the conventional limits imposed by underlying communications. However, a false [...] Read more.
Employing a cyclic prefixed OFDM (CP-OFDM) communication waveform for sensing has attracted extensive attention in vehicular integrated sensing and communications (ISAC). A unified sensing framework was developed recently, enabling CP-OFDM sensing to surpass the conventional limits imposed by underlying communications. However, a false target issue still remains unsolved. In this paper, we investigate and solve this issue. Specifically, we unveil that false targets are caused by periodic cyclic prefixes (CPs) in CP-OFDM waveforms. We also derive the relation between the locations of false and true targets, and other features, e.g., strength, of false targets. Moreover, we develop an effective solution to remove false targets. Simulations are provided to confirm the validity of our analysis and the effectiveness of the proposed solution. In particular, our design can reduce the false alarm rate caused by false targets by over 50% compared with the prior art. Full article
(This article belongs to the Special Issue Integrated Sensing and Communications for Next-Generation Networks)
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