Optimizing Wireless Cellular Networks with Reinforcement Learning: Technology Deep Dive, Lessons Learned and Field Results

Optimizing Wireless Cellular Networks with Reinforcement Learning: Technology Deep Dive, Lessons Learned and Field Results

Dive deep into the world of wireless cellular network optimization through reinforcement learning in this 25-minute conference talk presented by Juan Ramiro and José Outes from Ericsson. Explore cutting-edge technology, gain valuable insights from lessons learned, and examine real-world field results as the speakers share their expertise on enhancing network performance using advanced machine learning techniques.