Intelligent Network Automation and Self-Organizing Systems

Network automation and self-organizing systems are essential for managing the complexity of modern and future communication networks. This track examines the principles of autonomous network operation, including self-configuration, self-optimization, and self-healing capabilities. Participants will explore how automation frameworks leverage AI, analytics, and policy-driven control to reduce operational costs and improve network reliability.

The track further discusses the implementation of self-organizing networks in cellular, wireless, and satellite environments. Topics include automated fault management, performance optimization, and dynamic resource allocation. Challenges such as trust, transparency, and human oversight are also addressed. By enabling intelligent and adaptive network behavior, self-organizing systems play a crucial role in supporting scalable, resilient, and efficient communication infrastructures.

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