Leveraging Intent-Driven rApps for Intelligent RAN Automation

#AI #ML #RAN #OpenRAN #O-RAN #rAPP #IntelligentRAN #operations #automation #intent #intentbased #intentdriven #communications #networking #futurenetworks #ieee

Special Presentation by Dr. Mahdi Boloursaz Mashhadi (U. of Surrey, UK)

Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group

Date/Time: Thursday, 6 March 2025 @ 6 PM EST

Topic:

Leveraging Intent-Driven rApps for Intelligent RAN Automation 

Abstract:

The evolution of service management and orchestration (SMO) in O-RAN has unlocked new possibilities for automating RAN operations. Intent-driven rApps are at the forefront of this transformation, enabling service providers to seamlessly evolve, deploy, and optimize networks with unprecedented efficiency. By abstracting complexity and leveraging intent-based automation, these rApps empower service providers to align network operations with dynamic business demands, fostering agility and innovation. This keynote will explore the transformative potential of rApps in achieving autonomous RAN management, emphasizing SDKs and solution frameworks that drive developer success. Additionally, it will highlight strategies for resolving conflicts and ensuring seamless collaboration across independent automation processes, paving the way for the next era of intelligent network management.

Speaker:

Deepak Kataria has over 25 years’ experience in telco, data networking, and cloud computing domains with the unique distinction of working in technical leadership roles at AT&T Bell Labs, Lucent Technologies, Fujitsu, Agere Systems, and LSI. He co-founded IPJunction Inc in 2009 consulting telco clients on new solution opportunities, target markets, product management consulting and ecosystem partnerships. Currently, he serves as the Principal Solution Consultant for Ericsson working on AT&T’s cloud native network transformation, Cloud RAN and SMO projects. He served as Chair of IEEE Princeton Central Jersey Section from 2020-2022, General Chair of IEEE Sarnoff Symposium between 2015-2019 and co-leads the IEEE Future Network Initiative’s Working Group on AI/ML. He holds B.S. in Electronics and Communications Engineering, and pursued M.S. and Ph.D. degrees in Electrical Engineering from Rutgers University, New Jersey. He completed Harvard’s Emerging Leaders professional program on virtual leadership covering strategy, customer focus, corporate governance, and innovation.