Integrated Sensing and Communication: Who Benefits More?

doi:10.12142/ZTECOM.202403006

ZTE Communications ›› 2024, Vol. 22 ›› Issue (3): 37-47.DOI: 10.12142/ZTECOM.202403006

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Integrated Sensing and Communication: Who Benefits More?

DU Ruolin, WEI Zhiqiang(), YANG Zai

Xi’an Jiaotong University, Xi’an 710049, China

Received:2024-08-26 Online:2024-09-29 Published:2024-09-29
About author:DU Ruolin received her BS degree from the School of Mathematics and Statistics at Northwestern Polytechnical University, China in 2021. She is currently pursuing her PhD degree at the School of Mathematics and Statistics, Xi’an Jiaotong University, China. Her research interests include integrated sensing and communications (ISAC) and channel knowledge map (CKM)-assisted sensing.
WEI Zhiqiang ( zhiqiang.wei@xjtu.edu.cn) received his BE degree in information engineering from Northwestern Polytechnical University, China in 2012, and his PhD degree in electrical engineering and telecommunications from the University of New South Wales (UNSW), Australia in 2019. From 2019 to 2020, he was a post-doctoral research fellow with UNSW. From 2021 to 2022, he was a Humboldt post-doctoral research fellow with the Institute for Digital Communications, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Germany. He is currently a professor with the School of Mathematics and Statistics, Xi’an Jiaotong University, China. He coauthored the IEEE ComSoc Best Readings on OTFS and Delay Doppler Signal Processing. His current research interests include delay-Doppler communications, resource allocation optimization, and statistic and array signal processing.
YANG Zai is a professor of the School of Mathematics and Statistics, Xi’an Jiaotong University, China. He received his BS degree in mathematics and MS degree in applied mathematics from Sun Yat-sen University, China in 2007 and 2009, respectively, and his PhD degree in electrical and electronic engineering from Nanyang Technological University (NTU), Singapore in 2014. He was a research associate and a research fellow of NTU from June 2013 to December 2015, and a professor of the School of Automation, Nanjing University of Science and Technology, China from 2016 to 2018. His research interests focus on mathematical foundations of information processing and wireless communications. He was a leading tutorial presenter at EUSIPCO 2017. He is an IEEE senior member.

Abstract

Abstract:

This paper compares the benefits of communication-assisted sensing and sensing-assisted communication in the context of integrated sensing and communication (ISAC). Communication-assisted sensing leverages the extensive cellular infrastructure to create a vast and cooperative sensor network, enhancing environmental perception accuracy and coverage. On the other hand, sensing-assisted communication utilizes advanced sensing technologies to improve predictive beamforming and channel estimation performance in high-frequency and high-mobility scenarios, thereby increasing communication efficiency and reliability. To validate our analysis, we present an example of channel knowledge map (CKM)-assisted beam tracking. This example demonstrates the practical advantages of incorporating CKM in enhancing beam tracking accuracy. Our analysis confirms that communication-assisted sensing may offer greater development potential due to its wide coverage and cost-effectiveness in large-scale applications.

Key words: communication-assisted sensing, integrated sensing and communication (ISAC), sensing-assisted communication, 6G, vehicle-to-everything (V2X)

DU Ruolin, WEI Zhiqiang, YANG Zai. Integrated Sensing and Communication: Who Benefits More?[J]. ZTE Communications, 2024, 22(3): 37-47.

Figures/Tables 4

References 48

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