On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels

Antonin Rabault, Luc Le Magoarou, Jerome Sol, George C. Alexandropoulos, Nir Shlezinger, H. Vincent Poor, Philipp Del Hougne

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The wireless channel is a linear input-output relation that depends non-linearly on the RIS configuration: physics-compliant models involve the inversion of an &#x201C;interaction&#x201D; matrix. We identify two independent origins of this structural non-linearity: <italic>i</italic>) proximity-induced mutual coupling between close-by RIS elements; <italic>ii</italic>) reverberation-induced long-range coupling between all RIS elements arising from multi-path propagation in complex radio environments. Mathematically, we cast the &#x201C;interaction&#x201D; matrix inversion as the sum of an infinite Born series [for <italic>i</italic>)] or Born-like series [for <italic>ii</italic>)] whose <italic>K</italic>th term physically represents paths involving <italic>K</italic> bounces between the RIS elements [for <italic>i</italic>)] or wireless entities [for <italic>ii</italic>)]. We identify the key physical parameters that determine whether these series can be truncated after the first and second term, respectively, as tacitly done in common cascaded models of RIS-parametrized wireless channels. We also quantify the non-linearity of a channel&#x2019;s RIS parametrization in diverse numerical and experimental radio environments ranging from an anechoic (echo-free) chamber to rich-scattering reverberation chambers to corroborate our analysis. Our findings raise doubts about the reliability of existing performance analyses and channel-estimation protocols for cases in which cascaded models poorly describe the physical reality.

Original languageEnglish (US)
Pages (from-to)1
Number of pages1
JournalIEEE Transactions on Wireless Communications
DOIs
StateAccepted/In press - 2024
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Keywords

  • Born series
  • discrete dipole approximation
  • end-to-end channel modeling
  • fading channels
  • mutual coupling
  • PhysFad
  • Reconfigurable intelligent surfaces
  • structural non-linearity

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