Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
194 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Wideband Channel Capacity Maximization With Beyond Diagonal RIS Reflection Matrices (2404.00982v1)

Published 1 Apr 2024 in eess.SP, cs.IT, and math.IT

Abstract: Following the promising beamforming gains offered by reconfigurable intelligent surfaces (RISs), a new hardware architecture, known as \emph{beyond diagonal RIS (BD-RIS)}, has recently been proposed. This architecture enables controllable signal flows between the RIS elements, thereby providing greater design flexibility. However, the physics-imposed symmetry and orthogonality conditions on the non-diagonal reflection matrix make the design challenging. In this letter, we analyze how a BD-RIS can improve a wideband channel, starting from fundamental principles and deriving the capacity. Our analysis considers the effects of various channel taps and their frequency-domain characteristics. We introduce a new algorithm designed to optimize the configuration of the BD-RIS to maximize wideband capacity. The proposed algorithm has better performance than the benchmarks. A BD-RIS is beneficial compared to a conventional RIS in the absence of static path or when the Rician $\kappa$-factor is smaller than $10$.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (12)
  1. H. Li, S. Shen, M. Nerini, and B. Clerckx, “Reconfigurable intelligent surfaces 2.0: Beyond diagonal phase shift matrices,” IEEE Communications Magazine, vol. 62, no. 3, pp. 102–108, 2024.
  2. Y. Yang, B. Zheng, S. Zhang, and R. Zhang, “Intelligent reflecting surface meets OFDM: Protocol design and rate maximization,” IEEE Transactions on Communications, vol. 68, no. 7, pp. 4522–4535, 2020.
  3. G. Sun, R. He, B. Ai, Z. Ma, P. Li, Y. Niu, J. Ding, D. Fei, and Z. Zhong, “A 3D wideband channel model for ris-assisted MIMO communications,” IEEE Transactions on Vehicular Technology, vol. 71, no. 8, pp. 8016–8029, 2022.
  4. E. Björnson, H. Wymeersch, B. Matthiesen, P. Popovski, L. Sanguinetti, and E. de Carvalho, “Reconfigurable intelligent surfaces: A signal processing perspective with wireless applications,” IEEE Signal Processing Magazine, vol. 39, no. 2, pp. 135–158, 2022.
  5. S. Shen, B. Clerckx, and R. Murch, “Modeling and architecture design of reconfigurable intelligent surfaces using scattering parameter network analysis,” IEEE Transactions on Wireless Communications, vol. 21, no. 2, pp. 1229–1243, 2021.
  6. Y. Zhou, Y. Liu, H. Li, Q. Wu, S. Shen, and B. Clerckx, “Optimizing power consumption, energy efficiency and sum-rate using beyond diagonal RIS—a unified approach,” IEEE Trans. Wirel. Commun., 2023.
  7. H. Li, S. Shen, and B. Clerckx, “Beyond diagonal reconfigurable intelligent surfaces: From transmitting and reflecting modes to single-, group-, and fully-connected architectures,” IEEE Transactions on Wireless Communications, vol. 22, no. 4, pp. 2311–2324, 2022.
  8. M. Nerini, S. Shen, and B. Clerckx, “Closed-form global optimization of beyond diagonal reconfigurable intelligent surfaces,” IEEE Transactions on Wireless Communications, vol. 23, no. 2, pp. 1037–1051, 2024.
  9. H. Li, M. Nerini, S. Shen, and B. Clerckx, “Wideband modeling and beamforming for beyond diagonal reconfigurable intelligent surfaces,” arXiv preprint arXiv:2403.12893v1, Mar. 2024.
  10. E. Björnson and Ö. T. Demir, “Introduction to multiple antenna communications and reconfigurable surfaces,” Now Publishers, Inc., 2024.
  11. Ö. T. Demir and E. Björnson, “Is channel estimation necessary to select phase-shifts for RIS-assisted massive MIMO?” IEEE Transactions on Wireless Communications, vol. 21, no. 11, pp. 9537–9552, 2022.
  12. Spatial channel model for Multiple Input Multiple Output (MIMO) simulations (Release 16).   3GPP TS 25.996, Jul. 2020.
Citations (3)

Summary

We haven't generated a summary for this paper yet.