Workshop on Resilience in Next Generation Network Management (NGResNet)

In conjunction with

IEEE/IFIP Network Operations and Management Symposium (NOMS)

Rome, Italy, May 18-22, 2026

The workshop on resilience in next-generation network management (NGResNet) invites high-quality papers that address the urgent need for resilient next-generation networks. NGResNet seeks to address these challenges by gathering experts from academia and industry to discuss innovative approaches for enhancing network resilience. The workshop will cover topics ranging from machine learning-driven resilience mechanisms and predictive network management to adaptive resource allocation and edge-cloud collaboration for robust NGN operations.

Keynote

Dr. Hans-Peter Bernhard

Silicon Austria Labs

Title: Digital Twin-Driven Resilience for Next-Generation Networks: From Situational Awareness to Deterministic Reliability

Abstract

Next-Generation Networks (NGNs), including 5G and 6G, are expected to support mission-critical applications such as autonomous systems, industrial automation, and teleoperation, all requiring ultra-reliable and low-latency communications. Ensuring resilience in these environments demands proactive and adaptive network intelligence capable of handling failures, congestion, and dynamic operational conditions. We discuss a resilience framework based on the interaction between Application Digital Twins (ADTs) and Network Digital Twins (NDTs) to enable real-time situational awareness and predictive communication and application orchestration. By exchanging contextual and operational information, the coupled digital twins support intelligent decision-making across communication and application layers. The talk further explores how Integrated Sensing and Communication (ISAC) enhances synchronization and environmental awareness, enabling more adaptive and reliable network behavior. Additionally, we address the integration of Frame Replication and Elimination for Reliability (FRER) with wireless technologies as a mechanism to improve determinism, fault tolerance, and service continuity. The combination of digital twins, ISAC, and FRER represents a promising approach toward resilient, self-adaptive 6G networks capable of maintaining dependable performance under time varying conditions.

Bio

Hans-Peter Bernhard (Senior Member, IEEE) received the master’s degree in electrical engineering and the Ph.D. degree in technical sciences from Technical University Vienna, Vienna, Austria. He was an Assistant Professor with TU-Vienna until 1998 and joined the JKU as a Lecturer in 1999. In 2014, he started as a Senior Scientist with Johannes Kepler University and with Silicon Austria Labs in 2018. He was a Guest Researcher with Prague Academy of Science and with the University of Cambridge. He is a Principal Scientist, the Head of Research Unit Wireless Communications with Silicon Austria Labs, and a Senior Scientist with the Institute of Communications and RF Systems, Johannes Kepler University Linz, Austria. His research interests include the design and analysis of time sensitive communication systems with a focus to resilient solutions.

Program

14:00 – 15:00 — OPENING AND KEYNOTE SESSION

14:00 — Workshop Opening Remarks
Chair: Junaid Farooq

14:05 — Keynote Talk
Title: Digital Twin-Driven Resilience for Next-Generation Networks: From Situational Awareness to Deterministic Reliability
Speaker: Dr. Hans-Peter Bernhard (Silicon Austria Labs)

15:00 – 15:40 — TECHNICAL SESSION 1: LEARNING AND INTELLIGENT NETWORK CONTROL

15:00 - 15:20 Efficiency of CDN Node Restoration Prioritization Frameworks in Minimizing the Impact of Node Failures on CDN Performance and IP Transit Cost
Authors: Cezary Clapa, Artur Lason, Vinay Kanitkar, Piotr Artur Cholda

15:20 - 15:40 Deployment and Evaluation of a Secure Backbone AS to Enhance Internet Resilience over a Next Generation Network
Authors: Marten Gartner, Yixin Sun, David Hausheer

15:40 – 16:00 — COFFEE BREAK

16:00 – 17:00 — TECHNICAL SESSION 2: RESILIENCE AND NETWORK ARCHITECTURES

16:00 -16:20 Understanding the Performance of Reinforcement Learning-based Routing Strategy for Cache Network
Authors: Ryo Nakamura, Noriaki Kamiyama

16:20 - 16:40 Latent Geometric Backbones for Resilient Greedy Routing in Hyperbolic Networks
Authors: Daniel Ficzere, Andras Majdan, Gergely Hollósi, Pal Varga, Jozsef Biro

16:40 - 17:00 Temporally Encoded Double DQN for Proactive PRB Allocation in O-RAN Enabled Industrial Networks
Authors: Elahe Delavari, Xingqi Wu, Junaid Farooq

17:00 — CLOSING REMARKS

Important Dates

Submission Deadline: January 19, 2026 February 02, 2026 Submission Link: https://jems3.sbc.org.br/events/470

Notification of Acceptance: March 2, 2026

Camera Ready: March 16, 2026

Scope of the Workshop

The NGResNet workshop focuses on advancing resilience strategies in Next-Generation Networks (NGNs), including 5G, 6G, and beyond. As the deployment of NGNs accelerates, they increasingly support critical applications such as autonomous vehicles, tele-robotics, and industrial automation, which demand ultra-reliable, low-latency performance. However, these networks face unprecedented challenges, including traffic bursts, hardware/software failures, and security threats, all of which can disrupt essential services. NGResNet seeks to address these challenges by gathering experts from academia and industry to discuss innovative approaches for enhancing network resilience. Topics will range from machine learning-driven resilience mechanisms and predictive network management to adaptive resource allocation and edge-cloud collaboration for robust NGN operations. By promoting research and development in these areas, NGResNet aims to contribute to the design of more resilient, adaptable networks capable of sustaining high performance under diverse, often unpredictable conditions.

Topics of Interest

• Machine learning and AI-driven resilience for NGNs

• Proactive and predictive network resilience models

• Dynamic resource allocation and traffic management in response to network disruptions

• Security and privacy enhancements for resilient NGNs

• Edge and cloud network orchestration for robustness

• Adaptive network protocols for handling high variability and disruptions

• Reliable network slicing and resource management

• Resilience metrics and evaluation frameworks

• Distributed, decentralized, and self-healing architectures for NGNs

• Resilience for low-latency industrial applications

• Interference and congestion management in dense network deployments

• Testbeds and experimental frameworks for evaluating resilient NGNs

Submission Instructions

Papers must be formatted in the standard IEEE two-column format that is used by the IEEE/IFIP NOMS 2026 main conference and must not exceed six pages in length (including references). All submitted papers will go through a peer review process, and all accepted papers, which are presented by one of the authors at the workshop, will be published in the IEEE/IFIP NOMS 2026 proceedings and will appear on IEEE Xplore.

Organizing Team

Steering Committee

Raouf Boutaba (University of Waterloo, ON Canada)

Ekram Hossain (University of Manitoba, MB Canada)

Ahmed Eltawil (King Abdullah University of Science & Technology, Saudi Arabia)

General Co-Chairs:

Junaid Farooq (University of Michigan-Dearborn, MI USA)

Juntao Chen (Fordahm University, NY USA)

Tao Li (City University of Hong Kong, Hong Kong)

Quanyan Zhu (New York University, NY USA)

Technical Program Co-Chairs:

Hongxin Hu (University of Buffalo, NY USA)

Ehab Al-Shaer (Carnegie Mellon University, USA)

Kemal Akkaya (Virginia Commonwealth University, USA)

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