Statistical tools and methodologies for ultrareliable low-latency communication—a tutorial

OLA López, NH Mahmood, M Shehab… - Proceedings of the …, 2023 - ieeexplore.ieee.org
Ultrareliable low-latency communication (URLLC) constitutes a key service class of the fifth
generation (5G) and beyond cellular networks. Notably, designing and supporting URLLC …

[PDF][PDF] Statistical tools and methodologies for URLLC-A tutorial

OA López, M Shehab, NH Mahmood, H Alves… - Authorea …, 2022 - techrxiv.org
Ultra-reliable low-latency communication (URLLC) constitutes a key service class of the fifth
generation and beyond cellular networks. Notably, designing and supporting URLLC poses …

Deep learning for high-dimensional reliability analysis

M Li, Z Wang - Mechanical Systems and Signal Processing, 2020 - Elsevier
High-dimensional reliability analysis remains a grand challenge since most of the existing
methods suffer from the curse of dimensionality. This paper introduces a novel high …

Reliability-based optimal design of nonlinear viscous dampers for the seismic protection of structural systems

D Altieri, E Tubaldi, M De Angelis, E Patelli… - Bulletin of Earthquake …, 2018 - Springer
Viscous dampers are widely employed for enhancing the seismic performance of structural
systems, and their design is often carried out using simplified approaches to account for the …

Failure-informed adaptive sampling for PINNs, part II: combining with re-sampling and subset simulation

Z Gao, T Tang, L Yan, T Zhou - Communications on Applied Mathematics …, 2024 - Springer
This is the second part of our series works on failure-informed adaptive sampling for physic-
informed neural networks (PINNs). In our previous work (SIAM J. Sci. Comput. 45: A1971 …

REIN: Reliability Estimation via Importance sampling with Normalizing flows

A Dasgupta, EA Johnson - Reliability Engineering & System Safety, 2024 - Elsevier
We introduce a novel framework called REIN: Reliability Estimation by learning an
Importance sampling (IS) distribution with Normalizing flows (NFs). The NFs learn probability …

Subset simulation based approach for space-time-dependent system reliability analysis of corroding pipelines

S Chakraborty, S Tesfamariam - Structural Safety, 2021 - Elsevier
This paper proposes a subset simulation (SS) based approach for space and time-
dependent reliability analysis of corroding pipelines. It is assumed that the pipeline can fail …

Learning for MPC with stability & safety guarantees

S Gros, M Zanon - Automatica, 2022 - Elsevier
The combination of learning methods with Model Predictive Control (MPC) has attracted a
significant amount of attention in the recent literature. The hope of this combination is to …

A recursive dimension-reduction method for high-dimensional reliability analysis with rare failure event

Z Jiang, DC Feng, H Zhou, WF Tao - Reliability Engineering & System …, 2021 - Elsevier
A new dimension-reduction method (DRM), called'subset active subspace method (SASM)',
is proposed to compute small failure probabilities encountered in high-dimensional …

Accelerated evaluation of autonomous vehicles in the lane change scenario based on subset simulation technique

S Zhang, H Peng, D Zhao… - 2018 21st International …, 2018 - ieeexplore.ieee.org
The testing of autonomous vehicle (AV) safety is receiving a lot of attention due to several
high-profile crashes caused by AVs. Popular AV testing techniques include test matrix and …