PhD Student in Wireless Communications
Virginia Tech
Passionate in working on Non Terrestrial Networks, Machine Learning in Wireless Communications and Ubiquitous Connectivity
Rahul Chintalapati is a PhD student and researcher in Wireless Communications at Virginia Tech, where their research focuses on 5G and Beyond Communications, Non-Terrestrial Networks, Spectrum Sharing, Network Slicing, and NR V2X Communications . Their doctoral work investigates integrated terrestrial-non terrestrial networks (ITNTNs), aiming to enable dynamic spectrum sharing, mobility management, propose architectural enhancements, enable AI assisted communications and O-RAN integration into NTNs.
Rahul received his Master's degree in Computer Engineering from Virginia Tech and a Bachelor's degree in Electronics and Communication Engineering from Vellore Institute of Technology in India. Throughout their graduate studies, they have collaborated with Wiireless@VT, Commonwealth Cyber Initiative and National Science Foundation (NSF) on projects involving Vehicular communications, Network Virtualization and Slicing and Non-Terrestrial Networks. Currently working under the supervision of Dr. Nishith Tripathi and Dr. Jeffrey Reed, Rahul has presented his research at several international conferences, including the IEEE VTC 2024 and the IEEE WMCS 2024. He has also authored a book chapter called 'Securing Non-Terrestrial Networks' which was accepted for publication in IEEE-Wiley in collaboration with CCI. Additionally, Rahul is one of the inventors of a patent titled 'Hybrid Device and Network for a Wireless System,' which is currently undergoing PCT process.Spectrum Sharing techniques for Integrated Terrestrial Non-Terrestrial Networks, Network Slicing Enhancements, and Infrastructure architectures for NR V2X Communications
Spectrum Sharing, AI assisted Communications, Non Terrestrial Networks, Network Virtualization, low Latency Communications
Inventor of "Hybrid Device and Network for a Wireless-System" (PCT in progress)
5G-based Vehicular Infrastructure for Smart Traffic Intersections
A Study on Security Vulnerabilities in Non-Terrestrial Netowrks