Towards autonomous wireless network optimization with deep learning

Wireless Networks are more complex than ever before, and deep learning is an innovative solution for better network operation and management. In this talk we present a case study where we have explored how deep leaning can be used to audit networks to enable advanced networks quality improvement. Key challenges of deep learning when applied to

Dr. Said Soulhi, PhD, is a Distinguished Member of the Technical Staff working in the Wireless AI Innovation group at Verizon. He has established an excellent track record demonstrating the use of emerging networking paradigms (SON, Autonomic Management, SDN, NFV, etc). His research is now focusing on how Artificial Intelligence and Machine learning can be used to improve network performance and enable autonomous network management.