AI-Driven Optical Networks for Next-Generation Data Centers and 6G :: Special Issue

01About This Special Issue

The rapid growth of artificial intelligence workloads, hyperscale data centers, and emerging 6G services is increasing demand for high-capacity, low-latency, energy-efficient, and resilient optical communication networks. Advances in coherent transmission, high-speed optical interconnects, machine learning, and network automation create opportunities to improve the design and operation of next-generation communication infrastructure. However, challenges remain in scalable network control, real-time fault detection, interoperability, energy consumption, and the reliable deployment of intelligent networking technologies.

This Special Issue aims to advance research on AI-driven optical networks supporting next-generation data centers and 6G infrastructure. It welcomes rigorous theoretical, simulation-based, experimental, and deployment-oriented studies that demonstrate novel architectures, algorithms, measurement methods, and practical performance improvements. Particular interest is given to reproducible evaluations of machine learning techniques in coherent optical transport, network observability, and autonomous operation.

Potential topics include, but are not limited to:

Machine learning for coherent optical communication and signal processing
High-capacity 400G, 800G, and 1.6T optical transport and interconnects
AI-assisted network telemetry, observability, and fault localization
Optical networking for AI clusters and hyperscale data centers
Digital twins for optical network modeling and predictive maintenance
Reinforcement learning for routing, resource allocation, and optimization
Software-defined optical networking and autonomous orchestration
Energy-efficient optical infrastructure and sustainable network operation
Optical-wireless convergence and intelligent transport for 6G
Interoperability, resilience, and security of coherent optical systems

We invite original research articles, systematic reviews, methodological studies, and evidence-based case studies. Contributions should clearly describe their methods, evaluation criteria, limitations, and relevance to modern networks and communications. The Special Issue seeks to connect advances in AI and photonics with practical challenges in reliable, scalable communications infrastructure.

02Meet the Guest Editors

Our distinguished editors bring deep subject-matter expertise to curate high-quality research and ensure a rigorous peer-review process.

Lead Guest Editor

Praveen Pal

Network Infrastructure, Infinera Corp, San Jose, United States

ORCID

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04Published Articles

This special issue is now open for submission. Submit your manuscript here .

American Journal of Networks and Communications