References & Further Reading

References

1. F. Liu, Y. Cui, C. Masouros, J. Xu, T. X. Han, Y. C. Eldar, and S. Buzzi, Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond, 2022

   The definitive ISAC survey. Section I-III are essential background for all of Chapter 13.

2. G. Caire, F. Liu, and I. Atzeni, Joint Active and Passive Beamforming for RIS-Aided Integrated Sensing and Communications, 2023

   The second CommIT flagship. The full Section 13.4 framework is derived here. Definitive read for RIS-ISAC.

3. R. Liu, M. Li, Q. Liu, and A. L. Swindlehurst, SNR/CRB-Constrained Joint Beamforming and Reflection Designs for RIS-ISAC Systems, 2023

   Robust RIS-ISAC under imperfect CSI. Section III is directly used in Section 13.2.

4. Q. Wu and R. Zhang, Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming, 2019

   Foundational passive RIS. RIS-ISAC inherits the joint optimization framework.

5. R. Jiang, K. Xiong, T. Liu, D. W. K. Ng, R. Schober, and W. Zhang, Reconfigurable Intelligent Surface for ISAC: A Survey, 2023

   Comprehensive RIS-ISAC survey. Complements Section 13.1.

6. F. Liu, C. Masouros, A. Li, H. Sun, and L. Hanzo, MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission, 2018

   Foundational MIMO-ISAC paper. The tradeoff structure between radar and communication comes from here.

7. M. Di Renzo et al., Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces, 2020

   Survey; Section VI discusses RIS for sensing and ISAC applications.

8. K. Meng, Q. Wu, S. Ma, W. Chen, K. Wang, and J. Li, Joint Beamforming and Passive Reflection Design for RIS-Aided Integrated Sensing and Communication Systems, 2022

   Early RIS-ISAC joint optimization. Complements the CommIT framework.

9. X. Liu, T. Huang, N. Shlezinger, Y. Liu, J. Zhou, and Y. C. Eldar, Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar, 2020

   Multi-user ISAC without RIS. Foundational paper whose framework is adapted with RIS in the CommIT paper.

10. C. Cheng, Z. Tang, M. Wang, K. Yang, and K.-K. Wong, Beamforming Design for RIS-Assisted Integrated Sensing and Communications, 2022

    CRB-oriented optimization for RIS-ISAC. Chapter 13 leverages its CRB formulation as a reference.

11. D. Xu, H. Zhu, J. Wang, and D. W. K. Ng, RIS-Aided ISAC: Comparison and Analysis With Various Deployment Scenarios, 2023

    Deployment-focused overview. Relevant for Section 13.4's engineering notes.

12. R. W. Heath Jr. and A. Lozano, Foundations of MIMO Communication, Cambridge University Press, 2018

    Chapter 13 (yes, same number) covers radar-communication co-design in MIMO. Background for Section 13.2.

13. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, Prentice Hall, 1993

    Classical reference for CRB, FIM, and estimation bounds. Used throughout Section 13.3 and Chapter 14.

Further Reading

• CommIT RIS-ISAC flagship paper

  Caire, Liu, Atzeni (2023), 'Joint Active and Passive Beamforming for RIS-Aided ISAC' (ch13 ref)

  The definitive reference for Section 13.4. Essential for research-level RIS-ISAC.

• Broader ISAC context

  Liu, Cui, Masouros, et al. (2022), 'Integrated Sensing and Communications' (ch13 ref)

  The ISAC field survey. Provides context for how RIS-ISAC fits in the larger ISAC research agenda.

• Robust RIS-ISAC design

  Liu, Li, Liu, Swindlehurst (2023) (ch13 ref)

  Extends the CommIT framework to imperfect CSI. Critical for real deployment.

• Automotive and V2X applications

  Xu et al. (2023), 'RIS-Aided ISAC: Comparison and Analysis' (ch13 ref)

  Specific automotive-focused deployment scenarios and numerical results.

• Cramér-Rao-bounded sensing

  Kay (1993), 'Fundamentals of Statistical Signal Processing' (ch13 ref)

  The foundational CRB theory used throughout sensing chapters. Essential background for Chapter 14 on localization.