TY - GEN
T1 - A Simulation Framework for RIS Communications
AU - Browing, Jonathan W.
AU - Simmons, Nidhi
AU - Sofotasios, Paschalis C.
AU - Cotton, Simon L.
AU - Morales-Jimenez, David
AU - Matthaiou, Michail
AU - Babar Abbasi, Muhammad Ali
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This contribution proposes a simulation framework for quantifying the performance of employed reconfigurable intelligent surface (RIS) based systems to overcome adverse propagation-related effects. The physical model underlying the proposed framework considers the presence of a dominant signal path between the source and RIS, and then between RIS and the destination. The simulation of the time-correlated scattered signal reflected by the illuminated reflective elements is achieved using autoregressive (AR) modeling. As a by-product of our analysis, significant insights are developed which allow for the characterization of the amplitude and phase properties of the received signal, and the associated complex autocorrelation function (ACF) for the product of two Rician channels. Capitalizing on this, we derive the corresponding first and second order statistics, which lead to the development of useful theoretical and practical insights.
AB - This contribution proposes a simulation framework for quantifying the performance of employed reconfigurable intelligent surface (RIS) based systems to overcome adverse propagation-related effects. The physical model underlying the proposed framework considers the presence of a dominant signal path between the source and RIS, and then between RIS and the destination. The simulation of the time-correlated scattered signal reflected by the illuminated reflective elements is achieved using autoregressive (AR) modeling. As a by-product of our analysis, significant insights are developed which allow for the characterization of the amplitude and phase properties of the received signal, and the associated complex autocorrelation function (ACF) for the product of two Rician channels. Capitalizing on this, we derive the corresponding first and second order statistics, which lead to the development of useful theoretical and practical insights.
UR - http://www.scopus.com/inward/record.url?scp=85169834453&partnerID=8YFLogxK
U2 - 10.1109/VTC2023-Spring57618.2023.10199925
DO - 10.1109/VTC2023-Spring57618.2023.10199925
M3 - Conference contribution
AN - SCOPUS:85169834453
T3 - IEEE Vehicular Technology Conference
BT - 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 97th IEEE Vehicular Technology Conference, VTC 2023-Spring
Y2 - 20 June 2023 through 23 June 2023
ER -