Abstract

In this chapter, we first introduce the basics of ISAC and RIS, and discuss the motivations of RIS-enabled ISAC in 6G. Then, we present the potential application scenarios of RIS-enabled ISAC and provide its fundamentals, including the RIS response model, the signal model, as well as the channel model. Finally, research on RIS-enabled ISAC is reviewed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 117.69
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
EUR 160.49
Price includes VAT (Germany)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    OFDM is adopted in the RIS-enabled ISAC system because it is widely used in the communication systems and is also able to be implemented in the radar system.

  2. 2.

    Narrowband scenario is considered where the bandwidth is much smaller than the carrier frequency (i.e., \(B\ll f_c\)) and the wavelength is approximately constant over the entire bandwidth.

  3. 3.

    We consider the full-duplex BS that the transmitting and receiving antennas work simultaneously without self-interference.

References

  1. Wu Q, Zhang R (2019a) Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network. IEEE communications magazine 58(1):106–112

    Article  Google Scholar 

  2. Wu Q, Zhang R (2019b) Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming. IEEE Transactions on Wireless Communications 18(11):5394–5409

    Article  Google Scholar 

  3. Di B, Zhang H, Song L, Li Y, Han Z, Poor HV (2020) Hybrid beamforming for reconfigurable intelligent surface based multi-user communications: Achievable rates with limited discrete phase shifts. IEEE Journal on Selected Areas in Communications 38(8):1809–1822

    Article  Google Scholar 

  4. Cui M, Dai L (2022) Channel estimation for extremely large-scale MIMO: Far-field or near-field? IEEE Transactions on Communications 70(4):2663–2677

    Article  Google Scholar 

  5. Cui M, Wu Z, Lu Y, Wei X, Dai L (2022) Near-field communications for 6G: Fundamentals, challenges, potentials, and future directions. IEEE Communications Magazine

    Google Scholar 

  6. Selvan KT, Janaswamy R (2017) Fraunhofer and fresnel distances: Unified derivation for aperture antennas. IEEE Antennas and Propagation Magazine 59(4):12–15

    Article  Google Scholar 

  7. Saleh AA, Valenzuela R (1987) A statistical model for indoor multipath propagation. IEEE Journal on selected areas in communications 5(2):128–137

    Article  Google Scholar 

  8. Chen Y, Chen D, Jiang T (2021) Beam-squint mitigating in reconfigurable intelligent surface aided wideband mmwave communications. In: 2021 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, pp 1–6

    Google Scholar 

  9. Shtaiwi E, Zhang H, Abdelhadi A, Han Z (2021) Sum-rate maximization for RIS-assisted radar and communication coexistence system. In: 2021 IEEE Global Communications Conference (GLOBECOM), IEEE, pp 01–06

    Google Scholar 

  10. Wang X, Fei Z, Guo J, Zheng Z, Li B (2020) RIS-assisted spectrum sharing between MIMO radar and MU-MISO communication systems. IEEE Wireless Communications Letters 10(3):594–598

    Article  Google Scholar 

  11. He Y, Cai Y, Mao H, Yu G (2022) RIS-assisted communication radar coexistence: Joint beamforming design and analysis. IEEE Journal on Selected Areas in Communications 40(7):2131–2145

    Article  Google Scholar 

  12. Wei T, Wu L, Mishra KV, Shankar MB (2022) Multiple IRS-assisted wideband dual-function radar-communication. In: 2022 2nd IEEE International Symposium on Joint Communications & Sensing (JC&S), IEEE, pp 1–5

    Google Scholar 

  13. Jiang ZM, Rihan M, Zhang P, Huang L, Deng Q, Zhang J, Mohamed EM (2021) Intelligent reflecting surface aided dual-function radar and communication system. IEEE Systems Journal 16(1):475–486

    Article  Google Scholar 

  14. Yan S, Cai S, **a W, Zhang J, **a S (2022) A reconfigurable intelligent surface aided dual-function radar and communication system. In: 2022 2nd IEEE International Symposium on Joint Communications & Sensing (JC&S), IEEE, pp 1–6

    Google Scholar 

  15. Liu R, Li M, Swindlehurst AL (2022) Joint beamforming and reflection design for RIS-assisted ISAC systems. In: 2022 30th European Signal Processing Conference (EUSIPCO), IEEE, pp 997–1001

    Google Scholar 

  16. Sankar RP, Deepak B, Chepuri SP (2021) Joint communication and radar sensing with reconfigurable intelligent surfaces. In: 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), IEEE, pp 471–475

    Google Scholar 

  17. Mishra KV, Chattopadhyay A, Acharjee SS, Petropulu AP (2022) Optm3sec: Optimizing multicast IRS-aided multiantenna DFRC secrecy channel with multiple eavesdroppers. In: ICASSP 2022–2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, pp 9037–9041

    Google Scholar 

  18. Wang X, Fei Z, Zheng Z, Guo J (2021a) Joint waveform design and passive beamforming for RIS-assisted dual-functional radar-communication system. IEEE Transactions on Vehicular Technology 70(5):5131–5136

    Article  Google Scholar 

  19. Wang X, Fei Z, Huang J, Yu H (2021b) Joint waveform and discrete phase shift design for RIS-assisted integrated sensing and communication system under Cramér-Rao bound constraint. IEEE Transactions on Vehicular Technology 71(1):1004–1009

    Article  Google Scholar 

  20. Yu X, Xu D, Schober R (2019) MISO wireless communication systems via intelligent reflecting surfaces. In: 2019 IEEE/CIC International Conference on Communications in China (ICCC), IEEE, pp 735–740

    Google Scholar 

  21. Huang C, Zappone A, Alexandropoulos GC, Debbah M, Yuen C (2019) Reconfigurable intelligent surfaces for energy efficiency in wireless communication. IEEE transactions on wireless communications 18(8):4157–4170

    Article  Google Scholar 

  22. Yang Y, Zheng B, Zhang S, Zhang R (2020) Intelligent reflecting surface meets OFDM: Protocol design and rate maximization. IEEE Transactions on Communications 68(7):4522–4535

    Article  Google Scholar 

  23. Kammoun A, Chaaban A, Debbah M, Alouini MS, et al. (2020) Asymptotic max-min sinr analysis of reconfigurable intelligent surface assisted MISO systems. IEEE Transactions on Wireless Communications 19(12):7748–7764

    Article  Google Scholar 

  24. Hu S, Rusek F, Edfors O (2018) Beyond massive MIMO: The potential of positioning with large intelligent surfaces. IEEE Transactions on Signal Processing 66(7):1761–1774

    Article  MathSciNet  Google Scholar 

  25. Zhang H, Zhang H, Di B, Bian K, Han Z, Song L (2021) Metalocalization: Reconfigurable intelligent surface aided multi-user wireless indoor localization. IEEE Transactions on Wireless Communications 20(12):7743–7757

    Article  Google Scholar 

  26. Wang W, Zhang W (2021) Joint beam training and positioning for intelligent reflecting surfaces assisted millimeter wave communications. IEEE Transactions on Wireless Communications 20(10):6282–6297

    Article  Google Scholar 

  27. Zhang H, Zhang H, Di B, Bian K, Han Z, Song L (2022) Metaradar: Multi-target detection for reconfigurable intelligent surface aided radar systems. IEEE Transactions on Wireless Communications 21(9):6994–7010

    Article  Google Scholar 

  28. Keykhosravi K, Keskin MF, Seco-Granados G, Popovski P, Wymeersch H (2022) RIS-enabled SISO localization under user mobility and spatial-wideband effects. IEEE Journal of Selected Topics in Signal Processing 16(5):1125–1140

    Article  Google Scholar 

  29. He J, Jiang F, Keykhosravi K, Kokkoniemi J, Wymeersch H, Juntti M (2022) Beyond 5G RIS mmwave systems: Where communication and localization meet. IEEE Access 10:68075–68084

    Article  Google Scholar 

  30. Wang R, **ng Z, Liu E, Wu J (2023) Joint localization and communication study for intelligent reflecting surface aided wireless communication system. IEEE Transactions on Communications

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Hu, X., Liu, C., Peng, M., Zhong, C. (2024). Introduction of RIS-Enabled ISAC. In: Reconfigurable Intelligent Surface-Enabled Integrated Sensing and Communication in 6G. Wireless Networks. Springer, Singapore. https://doi.org/10.1007/978-981-99-8299-8_1

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-8299-8_1

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-8298-1

  • Online ISBN: 978-981-99-8299-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Navigation