TY - GEN
T1 - End-to-End Fading Channel Modeling for RIS-Empowered Smart Wireless Environments
AU - Faqiri, Rashid
AU - Saigre-Tardif, Chloe
AU - Alexandropoulos, George C.
AU - Shlezinger, Nir
AU - Imani, Mohammadreza F.
AU - Hougne, Philipp Del
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The combination of reconfigurable intelligent surfaces (RISs) and extremely massive antenna arrays is lately gaining increased attention as a new wireless networking paradigm, offering programmable radio wave propagation and holographic communications. However, the channel models used to date for the design and analysis of RIS-empowered multiple-input and multiple-output (MIMO) communication systems include fading in a manner that is unfaithful to the underlying wave physics. In this paper, we introduce a physics-based end-to-end model of RIS-parametrized MIMO channels of arbitrary dimensions with adjustable fading (named PhysFad), which is based on a first-principles coupled-dipole formalism. PhysFad naturally incorporates the notions of space, causality, frequency selectivity, and the intertwinement of phase and amplitude response of each RIS and antenna element, as well as any arising mutual coupling effects including long-range mesoscopic correlations. The presented channel model, whose code is shared openly, is used to implement Ricean fading conditions with various K factors in a physics-compliant manner.
AB - The combination of reconfigurable intelligent surfaces (RISs) and extremely massive antenna arrays is lately gaining increased attention as a new wireless networking paradigm, offering programmable radio wave propagation and holographic communications. However, the channel models used to date for the design and analysis of RIS-empowered multiple-input and multiple-output (MIMO) communication systems include fading in a manner that is unfaithful to the underlying wave physics. In this paper, we introduce a physics-based end-to-end model of RIS-parametrized MIMO channels of arbitrary dimensions with adjustable fading (named PhysFad), which is based on a first-principles coupled-dipole formalism. PhysFad naturally incorporates the notions of space, causality, frequency selectivity, and the intertwinement of phase and amplitude response of each RIS and antenna element, as well as any arising mutual coupling effects including long-range mesoscopic correlations. The presented channel model, whose code is shared openly, is used to implement Ricean fading conditions with various K factors in a physics-compliant manner.
KW - Fading Channel Modeling
KW - Holographic MIMO
KW - Reconfigurable Intelligent Surfaces
KW - Ricean Distribution
UR - http://www.scopus.com/inward/record.url?scp=85146907539&partnerID=8YFLogxK
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U2 - 10.1109/GCWkshps56602.2022.10008536
DO - 10.1109/GCWkshps56602.2022.10008536
M3 - Conference contribution
AN - SCOPUS:85146907539
T3 - 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings
SP - 741
EP - 746
BT - 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022
Y2 - 4 December 2022 through 8 December 2022
ER -