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Call for papers: Integration of Radar Sensing, Localization and Communications (ISLC)

Radar sensing, wireless communications and localization are the most common civil and military applications via radio frequency signals for decades. Recently, with the wide deployment of mm-Wave and massive MIMO in 5G and beyond, the integration of radar sensing, localization and communications (ISLC) holds great potential in many spectra and cost limited scenarios by realizing dual/multiple functions besides communication, such as autonomous vehicles networking, WiFi-based indoor localization, collaborative sensing, etc.

Research efforts are well underway to address the issues arising with communication, localization and radar spectrum sharing, as well as the design of dual/multi-functional radar communications, to make full use of radio frequencies that are usually designed for only a single function. However, many challenges arise when wireless communication meets radar sensing and localization, such as the unified theoretical frameworks, the fundamental performance limits, the waveform design, and the signal processing in the integration of multi-function systems including localization, detection, imaging and communication, as well as prototype implementations.

The goal of this special issue is to solicit the development of new integration strategies and architectures among communication, localization and radar systems that leverage the wealth of joint spectrum sharing technologies as well as of new signal processing procedures to improve spectrum utilization.

The topics of interest for the special issue include, but are not limited to:

  • Theoretical frameworks for integrated radar sensing, localization and communication (ISLC)
  • Fundamental performance limits and information theory for ISLC
  • Integration of localization and communication
  • Integration of radar detection and communication
  • Integration of radar imaging and communication
  • Channel measurement and modeling for ISLC
  • Experimental performance demonstrations, prototyping, and field-tests of ISLC
  • Network architectures and communication protocols for ISLC
  • Security and privacy issues in ISLC
  • Application-specific ISLC for autonomous vehicles, unmanned aerial vehicles (UAVs)
  • ISLC based machine learning/AI/big data

Important Dates
Submission deadline: 1 January 2023

Lead Guest Editor
Tingting Zhang, Harbin Institute of Technology, Shenzhen, China

Guest Editors
Yuan Shen, Tsinghua University, China
Pan Cao, University of Hertfordshire, UK
Jiancun Fan, Xi’an Jiaotong University, Xi’an, Shaanxi, China
Xiangwei Zhou, Louisiana State University, Baton Rouge, LA 70803 USA

Important: Authors should select "Integration of Radar Sensing, Localization and Communications (ISLC)" when they reach the “Article Type” step in the submission system.

Submission Guidelines: 
Submission Guidelines: Authors should prepare their manuscript according to the guide for authors available from the online submission page of the EURASIP Journal on Wireless Communications and Networking at Submitted papers must contain original work, which has neither been previously published nor it is currently under review by another journal or conference. Previously published or accepted conference papers must contain at least 50% new material to be considered for the special issue. All papers will be peer-reviewed by at least two independent reviewers.
Requests for additional information should be addressed to the corresponding guest editor. 

Submissions benefit from the usual advantages of open access publication: 

  • Rapid publication: Online submission, electronic peer review, and production make the process of publishing your article simple and efficient. 
  • High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article
  • No space constraints: Publishing online means unlimited space for figures, extensive data, and video footage.
  • Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed. 

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