Future network and service management is moving from automation toward agentic intelligence. AI agents are expected to monitor, reason, plan, and act across complex infrastructures such as 5G-Advanced, 6G, O-RAN, edge-cloud systems, network slices, private networks, and AI-as-a-Service platforms. However, such agents can only be trusted if they are trained, evaluated, and operated on trustworthy data foundations.

Today’s telecom data ecosystem remains fragmented across operators, testbeds, simulators, digital twins, vertical pilots, open-source platforms, and research projects. Many datasets lack provenance, metadata, scenario descriptions, cross-layer correlation, validation evidence, privacy guarantees, leakage-free splits, and reproducible benchmarks.

These limitations create major barriers for safe, reliable, and comparable autonomous network management. TrustDataNet 2026 invites original research papers, short papers, position papers, dataset papers, tool papers, demos, and experience reports addressing the data-centric foundations of autonomous and agentic network and service management.

Topics of Interest

• Trustworthy and AI-ready data pipelines for 5G-Advanced and 6G network and service management

• Data quality metrics, validation frameworks, and automated assurance for telemetry, monitoring, and observability data

• Cross-layer, multi-domain, and multi-source data correlation for autonomous management systems

• Synthetic, emulation-based, simulation-based, generative-AI-based, and digital-twin-based data generation for rare events and edge cases

• Validation of synthetic data and assessment of simulator-to-reality and digital-twin-to-reality gaps

• Dataset documentation, metadata schemas, provenance, reproducibility, leakage-free splits, and benchmark design

• Data-centric evaluation of AI agents for closed-loop network and service management

• Safe learning, policy validation, and runtime monitoring for agentic network management

• Privacy-preserving data sharing, federated analytics, secure multi-party computation, and confidential data spaces

• Explainability, fairness, bias detection, accountability, and auditability in data-driven management decisions

• Open-source tools, testbeds, datasets, data-space platforms, and benchmarking pipelines

• Lessons learned from 5G-Advanced and early 6G testbeds on data-related bottlenecks

• Standardization efforts in 3GPP, ETSI, IETF, O-RAN, and related bodies for trustworthy data exposure and AI-native management

• Governance, security, regulatory compliance, and responsible data management for agentic systems

Important dates

• Workshop Paper Submission Deadline: August 14, 2026

• Notification of Acceptance: September 11, 2026

• Camera-Ready Deadline: September 18, 2026

• Workshop Date: October 26 or 30, 2026 (According to final CNSM schedule)

Submission Guidelines

All submissions must follow the CNSM 2026 workshop formatting and submission guidelines.

Paper submission will be handled through EDAS. The submission link will be added once available.