1st Workshop on Secure and Energy-aware Open and Programmable RAN Networks (SEOPRAN)
With the patronage of IEEE Network Intelligence Emerging Technologies initiative IEEE NI ETI and by the RESTART Foundation
Description
The future of cellular networks is being shaped by the Open Radio Access Network (Open RAN) architecture, which emphasizes open interfaces, virtualization, and intelligent automation. By disaggregating traditional RAN components and introducing programmable, AI-driven controls, these architectures promise unprecedented flexibility, scalability, and performance. However, with these benefits come significant challenges, particularly in optimizing energy efficiency and ensuring robust security. The need to minimize energy consumption across all components of the RAN, from core network elements to edge devices, requires innovative solutions that leverage data-driven optimization, intelligent orchestration, and adaptive resource management. At the same time, the adoption of open and virtualized architectures increases the attack surface, necessitating comprehensive security measures to protect against evolving threats.
The main goal of the Secure and Energy-aware Open and Programmable RAN Networks workshop is to bring together researchers, industry professionals, and practitioners to explore state-of-the-art research on energy-efficient and secure Open RAN and Next-G RAN systems, addressing topic such as security solutions for Open RAN architectures, data driven control techniques for energy efficiency optimization, sequential decision making control techniques for closed-loop control of the RAN, security analysis of Open RAN architectures and interfaces, conflict mitigation in Open RAN networks, and extension of Open RAN deployments to non-terrestrial networks. We invite high-quality, original contributions that address theoretical, algorithmic, and system aspects, as well as experimental insights that advance the deployment and optimization of these networks.
Topics of interest include, but are not limited to:
- Algorithms for inference and control in the Open RAN
- Evolution of Open RAN Architectures and RAN Intelligent Controllers (RICs)
- Machine Learning and other AI techniques for the Open RAN
- Data-driven sequential decision-making control techniques for closed-loop control of the RAN
- Trade-offs analysis in Open RAN systems
- Federated learning for the Open RAN
- Distributed data collection paradigms
- Use cases and applications for Open RAN deployments
- Open RAN fronthaul networks and interfaces design
- Design and implementation of open-source Open RAN solutions
- Energy-Efficient Architectures and Deployments for Open RAN Systems
- Security analysis and solutions for Open RAN Architectures
- Network Security based on AI/ML techniques in Open RAN
- Security solution leveraging Open RAN
- Physical layer security for NextG & Beyond
- Security and Privacy in AI-Driven Open RAN Systems
- Advanced Orchestration and Management for Energy Efficiency
- Machine learning for user behavior prediction
- Conflict mitigation in Open RAN networks
- Open RAN deployments in non-terrestrial networks
- Communication-theoretic and network-theoretic modeling and analysis of Open RAN
- Open RAN testbeds
Workshop General Co-chairs
- Salvatore D’Oro, Northeastern University, Boston
- Matteo Pagin, Keysight, Denmark
- Ivan Palama, CNIT Rome Research Unit, Italy
- Raoul Raftopoulos, University of Catania, Italy
- Giovanni Schembra, University of Catania, Italy
- Pietro Spadaccino, University of Rome Sapienza, Italy
Paper Submission Guidelines
Papers submitted to ICIN 2025 Workshops will be assessed based on originality, technical soundness, clarity and interest to a wide audience. All submissions must be written in English and must use standard IEEE two-column conference template, available for download from the IEEE website:
https://www.ieee.org/conferences/publishing/templates.html
Workshop papers can be up to 8 pages (Full papers) and 5 pages (Short papers), including tables, figures and references.
Only PDF files will be accepted for the review process and all submissions must be done electronically through EDAS at: https://edas.info/N32464
Important Dates
- Paper submission deadline: December 16, 2024
- Acceptance notification: January 14, 2025
- Camera-ready paper submission: January 21, 2025