@misc{10481/92258,
year = {2023},
month = {6},
url = {https://hdl.handle.net/10481/92258},
abstract = {We present a simulation framework for evaluating
the performance of cooperative reconfigurable intelligent surface
(RIS) based systems, which may ultimately deploy an arbitrary
number of RISs to overcome adverse propagation-related effects,
such as cascaded fading. The physical model underlying the
proposed framework considers the (optional) presence of a
dominant signal path between the source and RIS, and then
between each subsequent stage of the communication link to the
destination. Accompanying the dominant signal component is a
non-isotropic scattered signal contribution, which accounts for
angular selectivity within the cascaded RIS stages between the
source and destination. The simulation of the time-correlated
scattered signal, reflected by the illuminated reflective elements,
is achieved using autoregressive modelling. As a by-product of
our analysis, significant insights are drawn which enable us to
characterize the amplitude and phase properties of the received
signal, and the associated complex autocorrelation functions
(ACFs) for the product of multiple Rician channels. For both
single and cooperative RIS systems, the outage probability (OP),
and important second-order statistics, such as the level crossing
rate (LCR) and average outage duration (AOD), are analyzed for a variety of system configurations, accounting for practical
limitations, such as phase errors. It is shown that by using multiple
RISs cooperatively, the AOD is reduced at a lower signal-tonoise-
ratio (SNR) compared to single RIS-assisted transmission
under the same operating conditions. Lastly, increased channel
variations (i.e., higher maximum Doppler frequencies) are shown
to decrease the AOD in the case of absent phase errors; yet, this
improvement is not observed when phase errors are present.},
organization = {Royal Academy of Engineering (grant ref RF\201920\19\191)},
organization = {Khalifa University under Grant
KU/RC1-C2PS-8474000137/T5},
organization = {State Research Agency (AEI) of Spain and the
European Social Fund under grant RYC2020-030536-I},
organization = {AEI under grant
PID2020-118139RB-I00},
organization = {Research grant from the Department for the Economy Northern Ireland under
the US-Ireland R&D Partnership Program},
organization = {European Research
Council (ERC) under the European Union’s Horizon 2020 research and
innovation program (grant agreement No. 101001331)},
publisher = {Institute of Electrical and Electronics Engineers},
keywords = {Average outage duration},
keywords = {Cooperative reconfigurable intelligent surface (RIS)},
keywords = {Outage probability},
title = {A Simulation Framework for Cooperative Reconfigurable Intelligent Surface-Based Systems},
doi = {10.1109/TCOMM.2023.3282952},
author = {Simmons, Nidhi and Browning, Jonathan W. and Cotton, Simon L. and Sofotasios, Paschalis C. and Morales-Jimenez, David and Matthaiou, Michail and Abbasi, Muhammad Ali Babar},
}