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An overview on IRS-enabled sensing and communications for 6G: architectures, fundamental limits, and joint beamforming designs

  • Xianxin SONG
  • , Yuan FANG
  • , Feng WANG
  • , Zixiang REN
  • , Xianghao YU
  • , Ye ZHANG*
  • , Fan LIU
  • , Jie XU*
  • , Derrick Wing Kwan NG
  • , Rui ZHANG
  • , Shuguang CUI
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This study presents an overview on intelligent reflecting surface (IRS)-enabled sensing and communication for the forthcoming sixth-generation (6G) wireless networks, in which IRSs are strategically deployed to proactively reconfigure wireless environments to improve both sensing and communication (S&C) performance. First, we exploit a single IRS to enable wireless sensing in the base station’s (BS’s) non-line-of-sight (NLoS) area. In particular, we present three IRS-enabled NLoS target sensing architectures with fully-passive, semi-passive, and active IRSs, respectively. We compare their pros and cons by analyzing the fundamental sensing performance limits for target detection and parameter estimation. Next, we consider a single IRS to facilitate integrated sensing and communication (ISAC), in which the transmit signals at the BS are used for achieving both S&C functionalities, aided by the IRS through reflective beamforming. We present joint transmit signal and receiver processing designs for realizing efficient ISAC, and jointly optimize the transmit beamforming at the BS and reflective beamforming at the IRS to balance the fundamental performance tradeoff between S&C. Furthermore, we discuss multi-IRS networked ISAC, by particularly focusing on multi-IRS-enabled multi-link ISAC, multi-region ISAC, and ISAC signal routing, respectively. Finally, we highlight various promising research topics in this area to motivate future work. © Science China Press 2025.
Original languageEnglish
Article number150301
JournalScience China Information Sciences
Volume68
Issue number5
Online published16 Apr 2025
DOIs
Publication statusPublished - May 2025

Funding

The work was supported in part by Basic Research Project of Hetao Shenzhen-HK S&T Cooperation Zone (Grant No. HZQB-KCZYZ-2021067), National Natural Science Foundation of China (Grant Nos. 62471424, 92267202, 62293482), Shenzhen Outstanding Talents Training Fund (Grant No. 202002), Guangdong Provincial Key Laboratory of Future Networks of Intelligence (Grant No. 2022B1212010001), and Guangdong Major Project of Basic and Applied Basic Research (Grant No. 2023B0303000001). The work of Xianghao YU was supported by Hong Kong Research Grants Council (Grant No. 11208724). The work of Fan LIU was supported in part by National Natural Science Foundation of China (Grant No. 62331023), Guangdong Province \u201CPearl River\u201D Young Talent Support Program (Grant No. 2021QN02X128), and Guangdong Basic and Applied Basic Research Foundation (Grant No. 2024A1515011218). The work of Rui ZHANG was supported in part by Guangdong Provincial Key Laboratory of Big Data Computing, National Natural Science Foundation of China (Grant No. 62331022), 2022 Stable Research Program of Higher Education of China (Grant No. 20220817144726001), and Guangdong Major Project of Basic and Applied Basic Research (Grant No. 2023B0303000001).

Research Keywords

  • integrated sensing and communication (ISAC)
  • intelligent reflecting surface (IRS)
  • non-line-of-sight (NLoS) sensing
  • sensing and communication tradeoff

RGC Funding Information

  • RGC-funded

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