IEEE Future Networks World Forum
On-Demand through 15 November 2022

TUT16: Quantum-inspired Processing for Resource Optimization in Emerging Networks


This tutorial introduces quantum computing with a brief introduction to quantum mechanics and quantum processing using quantum gates and an overview of quantum computers, including quantum gate-based computers and quantum-annealing-based processors. As wireless networks continue to evolve into 6G and beyond, the deployment of networks will be increasingly heterogeneous comprising of base-stations or access points or distributed units serving users in different spectra utilizing different technologies, with self-organizing features enabled. This tutorial provides a framework to explore quantum-based processing to help with system optimization in emerging networks. The general overview of system optimization in emerging networks is provided, with specific applicability to optimization in disaggregated RAN frameworks such as Open-RAN. The tutorial then explores quantum-inspired techniques for resource management and optimization of emerging wireless networks. Different resource management problems are addressed using such processing techniques, including dynamic virtual PCI optimization, dynamic network energy savings, and dynamic load balancing across network nodes. The concept of quantum blockchain networks is also introduced to address such resource management problems.


Dilip Krishnaswamy, Sr Principal Architect-Wireless, STL-New Jersey, US

Short Bio: Dilip Krishnaswamy is a senior principal architect at STL where he is working on the development of novel and practical solutions for the optimization and management of advanced 5G and future networks. He has worked as a platform architect at Intel, as a senior staff researcher in the Office of the Chief Scientist at Qualcomm Research, as a senior scientist at IBM Research, and as a VP of New & Emerging Technology at Jio Platforms. His current areas of interest include 5G/6G Networks, Open RAN, Edge Networking, Quantum Computing, System Optimization, Distributed Machine Learning, Digital Twin modeling, and Distributed Virtualization in networks. He is an inventor on 65+ granted US patents and has co-authored 70+ research publications. He is a senior member of the IEEE where he has served as the Associate Editor-in-Chief for IEEE Wireless Communications (2009-2014), as the Executive Chair for the IEEE Globecom Conference in San Diego in 2015. He serves on the Advisory Board Member for the global IEEE “Connecting the Unconnected” Challenge (2021 & 2022). He recently received a “Technologist of the Year 2020 ” award from the IEEE. He is a member of the System Optimization working group in IEEE Future Networks Initiative. He received a BTech degree in Electronics and Communications Engineering in 1991 from the Indian Institute of Technology Madras, an MS degree in Computer Science in 1993 from Syracuse University, where he was a University Fellow, and a Ph.D. degree in electrical engineering in 1997 from the University of Illinois at Urbana-Champaign.


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