Wireless and Satellite Communications

AI-Driven Network Optimization

Artificial Intelligence (AI) is reshaping how wireless networks are planned, deployed, and managed. This track explores AI-driven tools and frameworks for traffic prediction, load balancing, self-healing, and dynamic resource allocation. Emphasis will be placed on reinforcement learning, neural networks, and AI-augmented network slicing.

Case studies from telecom operators and researchers will illustrate real-world benefits and performance improvements. The session will also address challenges such as data bias, model interpretability, and AI deployment in latency-sensitive environments. Participants will gain insights into the future of autonomous, intelligent wireless network management