References & Further Reading

References

1. G. Caire and I. Atzeni, Joint RIS Deployment and Network-Level Optimization for Ubiquitous Coverage, 2023

   CommIT deployment framework. Joint panel placement + network optimization with submodular guarantees. Section 17.4 uses this.

2. E. Björnson, Ö. Özdogan, and E. G. Larsson, Intelligent Reflecting Surface Versus Decode-and-Forward: How Large Surfaces Are Needed to Beat Relaying?, 2020

   Foundational RIS-vs-relay comparison. Theorem 17.3 adopted from here.

3. J. Lyu and R. Zhang, Spatial Throughput Characterization for Intelligent Reflecting Surface Aided Multiuser System, 2020

   Coverage analysis under PPP deployment. Section 17.2 formulation follows this.

4. Y. Chen, X. Zhang, M. A. Elmossallamy, H. Zhang, M. Z. Win, and Z. Han, RIS Deployment: Towards Intelligent Wireless Environment, 2022

   Comprehensive deployment survey. Cost-benefit framework of Section 17.4 builds on this.

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

   Baseline RIS theory; used for end-to-end SNR formulas.

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

   Survey; Section VIII discusses deployment.

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

   Path-loss model validated for deployment calculations.

8. S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, 2004

   Facility location and submodular optimization foundations.

9. U. Feige, A Threshold of ln n for Approximating Set Cover, 1998

   Classical hardness of facility-location / set-cover. Justifies the (1-1/e) greedy bound.

10. G. L. Nemhauser, L. A. Wolsey, and M. L. Fisher, An Analysis of Approximations for Maximizing Submodular Set Functions, 1978

    The (1 - 1/e) greedy submodular guarantee theorem.

11. ETSI ISG RIS, Reconfigurable Intelligent Surfaces (RIS); Communication Models, Channel Models, Channel Estimation and Evaluation Methodology, 2023

    Industry standard including deployment models.

12. H. Q. Ngo, A. Ashikhmin, H. Yang, E. G. Larsson, and T. L. Marzetta, Cell-Free Massive MIMO Versus Small Cells, 2017

    Comparison framework for distributed access points — complements RIS-vs-small-cell analysis.

13. J. Zhao, J. Xu, and B. Zhu, Spatial Characterization of Intelligent Reflecting Surfaces Deployment in Urban Environments, 2022

    Urban RIS density optimization. Supports Section 17.2's density theorem.

Further Reading

• CommIT deployment framework

  Caire, Atzeni (2023), 'Joint RIS Deployment and Network-Level Optimization' (ch17 ref)

  The definitive reference for Section 17.4. Essential for commercial deployment work.

• RIS-vs-relay formal comparison

  Björnson, Özdoğan, Larsson (2020), 'IRS vs. Decode-and-Forward' (ch17 ref)

  The cleanest analytical comparison of the two technologies — Theorem 17.3 comes from here.

• Coverage under PPP deployment

  Lyu and Zhang (2020), 'Spatial Throughput Characterization' (ch17 ref)

  Density-based coverage analysis. Section 17.2 formulation extends this.

• Deployment survey (commercial perspective)

  Chen et al. (2022), 'RIS Deployment: Towards Intelligent Wireless Environment' (ch17 ref)

  Operator-focused survey connecting theory to commercial realities.

• Submodular optimization theory

  Nemhauser, Wolsey, Fisher (1978), 'Submodular Set Functions' (ch17 ref)

  Foundational (1-1/e) greedy guarantee theorem used throughout the chapter.