Worst-User Outage Probability Minimization in Active RIS-Aided Systems
Abstract
In this paper, a worst-user outage probability minimization problem in active reconfigurable intelligent surface (RIS)-aided systems is addressed. Since the resulting problem involves a discontinuous objective function over an unknown channel distribution, a sequence of reformulations is applied by integrating a probability-simplex user weighting, a softplus surrogate for differentiability, and entropic tail-risk aggregation for rare but severe outage events. Based on the reformulated problem, a data-driven stochastic optimization technique that relies on historical channel samples is adopted to jointly optimize the beamformer and reflection coefficients with projected adaptive moment estimation. Simulation results show advantages of the proposed technique for reliability-oriented active RIS transmission design.
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BibTeX
@misc{shin2026worstuser,
title = {{Worst-User Outage Probability Minimization in Active RIS-Aided Systems}},
author = {Donghwan Shin and Hyeongtaek Lee and Junil Choi},
howpublished = {arXiv},
year = {2026},
month = nov,
doi = {10.48550/arxiv.2611.01650},
eprint = {2611.01650},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2611.01650},
}
RIS
TY - UNPB
TI - Worst-User Outage Probability Minimization in Active RIS-Aided Systems
AU - Donghwan Shin
AU - Hyeongtaek Lee
AU - Junil Choi
PY - 2026
DA - 2026/11/01
PB - arXiv
DO - 10.48550/arxiv.2611.01650
UR - https://arxiv.org/abs/2611.01650
AB - In this paper, a worst-user outage probability minimization problem in active reconfigurable intelligent surface (RIS)-aided systems is addressed. Since the resulting problem involves a discontinuous objective function over an unknown channel distribution, a sequence of reformulations is applied by integrating a probability-simplex user weighting, a softplus surrogate for differentiability, and entropic tail-risk aggregation for rare but severe outage events. Based on the reformulated problem, a data-driven stochastic optimization technique that relies on historical channel samples is adopted to jointly optimize the beamformer and reflection coefficients with projected adaptive moment estimation. Simulation results show advantages of the proposed technique for reliability-oriented active RIS transmission design.
ER -