References & Further Reading

References

  1. T. J. Cui, M. Q. Qi, X. Wan, J. Zhao, and Q. Cheng, Coding metamaterials, digital metamaterials and programmable metamaterials, 2014

    The founding paper of the digital-coding-metasurface concept. Introduces the 1-bit/2-bit coding representation of a programmable surface and sets the terminology.

  2. Q. Wu and R. Zhang, Beamforming Optimization for Wireless Network Aided by Intelligent Reflecting Surface With Discrete Phase Shifts, 2020

    The definitive reference on discrete-phase RIS. Derives the $\text{sinc}^2(\pi/2^B)$ loss formula and proves near-optimality of nearest-level projection for coherent combining.

  3. S. Abeywickrama, R. Zhang, Q. Wu, and C. Yuen, Intelligent Reflecting Surface: Practical Phase Shift Model and Beamforming Optimization, 2020

    Introduces the amplitude-phase coupling (APC) model based on fitting measured varactor-diode data. Quantifies the naive-vs-APC-aware optimization gap.

  4. R. J. Williams, P. Ramírez-Espinosa, E. de Carvalho, and T. L. Marzetta, Multiport Communication Theory for Reconfigurable Intelligent Surfaces, 2021

    Treats the RIS as a multiport network with explicit mutual-impedance matrix. The starting point for the 'beyond-diagonal' RIS optimization of Chapter 10.

  5. W. Tang et al., Wireless Communications With Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurements, 2021

    First experimental validation of the RIS cascaded-channel model with a 1-bit prototype. Measures and reports the 1-bit SNR loss and the $N^2$ coherent combining gain.

  6. M. Di Renzo et al., Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and the Road Ahead, 2020

    Section III (hardware) is the most complete introduction to unit-cell design options. Section IV (modeling) treats the diagonal-model validity question in detail.

  7. D. M. Pozar, Microwave Engineering, Wiley, 4th ed., 2012

    Chapters 2 and 3 on transmission lines, impedance matching, and S-parameters are the required background for the hardware models of this chapter.

  8. R. F. Harrington, Matrix methods for field problems, 1967

    The foundational paper on the method of moments (MoM) for computing mutual-impedance matrices. Still the practical starting point for computing $\mathbf{Z}$ in a real array.

  9. Q. Wu, S. Zhang, B. Zheng, C. You, and R. Zhang, Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial, 2021

    A tutorial survey of RIS algorithms and architectures. Good for placing this chapter's hardware focus in the context of the broader RIS design space.

  10. V. Arun and H. Balakrishnan, RFocus: Beamforming using thousands of passive antennas, 2020

    The RFocus demonstrator at MIT — 3,200 passive 1-bit elements at 2.4 GHz. The benchmark 'empirical result' that all theoretical papers compare against.

  11. X. Yang et al., A programmable metasurface with dynamic polarization, scattering and focusing control, 2016

    An earlier programmable metasurface prototype that predates the RIS-for-communications paradigm. Useful for understanding the physics-first perspective.

Further Reading

Resources for readers interested in digging deeper into the hardware or electromagnetic side.

  • Full-wave design of RIS unit cells

    Pozar, Microwave Engineering, Chapters 3 and 14

    The circuit-level analysis of grounded resonators, loaded stubs, and patch-antenna design — the engineering basis of every unit cell in this chapter.

  • Metasurface physics (generalized Snell's law)

    Yu et al., 'Light propagation with phase discontinuities,' Science, 334:333–337, 2011

    The physical-optics picture of metasurfaces — how phase-discontinuity profiles reflect waves in non-specular directions.

  • Practical RIS prototypes in the literature

    ETSI GR RIS 003, 'Reconfigurable Intelligent Surfaces (RIS); Communication Models, Channel Models, Channel Estimation and Evaluation Methodology,' 2023

    Industry-oriented overview of measured RIS characteristics. Ground-truth for realistic simulation parameters.

  • Mutual-coupling in communication arrays

    Gupta and Ksienski, 'Effect of Mutual Coupling on the Performance of Adaptive Arrays,' IEEE Trans. AP, 1983

    The classic pre-RIS treatment of coupling in adaptive arrays. Explains why compensation matrices work and when they don't.

  • Beyond-diagonal RIS

    M. Nerini and B. Clerckx, 'Pareto Frontier for the Performance-Complexity Trade-off in Beyond Diagonal Reconfigurable Intelligent Surfaces,' IEEE TWC, 2023

    Treats the RIS as a full $\boldsymbol{\Phi}_{\text{full}}$ matrix and asks what gains come from exploiting off-diagonal impedance. Sets up Chapter 10 of this book.