Scholar
Nathan Stephenson
Google Scholar ID: hNF4viUAAAAJ
Undergraduate researcher at NextG Wireless Lab, George Mason University
Citations & Impact
Citations
35
H-index
3
i10-index
2
Publications
9
Co-authors
13
list available
Resume
Academic Achievements
- Published paper 'Demonstration of Closed Loop AI-Driven RAN Controllers Using O-RAN SDR Testbed' at MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM), Boston, MA, USA, 2023, pp. 241-242, doi: 10.1109/MILCOM58377.2023.10356330. (Best Demo Paper Award)
- Published paper 'SenseORAN: O-RAN based Radar Detection in the CBRS Band' in IEEE Journal on Selected Areas in Communications, vol. 42, no. 2, pp. 326-338, Feb. 2024, doi: 10.1109/JSAC.2023.3336152.
- Published paper 'Interference Analysis of Coexisting 5G Networks and NGSO FSS Receivers in the 12-GHz Band' in IEEE Wireless Communications Letters, vol. 12, no. 9, pp. 1528–1532, 2023, doi: 10.1109/LWC.2023.3281769.
- Presented poster 'Milli-O-RAN: A Flexible, Reconfigurable O-RAN enabled mmWave Network Testbed' at IEEE DySPAN 2024, Arlington, VA.
- Presented poster 'Intelligent Closed-Loop Open RAN Control for 6G Cellular Networks' at Undergraduate Research Celebration 2024, George Mason University, Fairfax, VA.
- Delivered tutorial 'An Open-Source AI-Enhanced O-RAN Platform Enabling 6G Wireless Research' at IEEE DySPAN 2024, Arlington, VA, and IEEE PIMRC 2023, Toronto, Canada.
- Delivered tutorial 'Open AI Cellular: Custom AI-driven xApp Design/Development' at OAIC Workshop 2023, Virginia Tech, Blacksburg, VA.
- Presented poster 'O-RAN-Based NextG Dynamic Spectrum Sharing Framework' at CCI Symposium 2023, Richmond, VA.
Research Experience
- 2022-present: Undergraduate Research Assistant at GMU's NextG Wireless Lab, conducting research in wireless systems including 5G cellular networks.
- Supported the development of the Open AI Cellular platform, an O-RAN software suite for deploying AI-enabled LTE and 5G cellular networks.
- Developed and configured LTE and 5G O-RAN wireless testbeds using NI USRP software-defined radios (SDRs).
- Configured virtualized RAN Intelligent Controllers (RIC) with containerized O-RAN xApps to operate with multiple testbeds.
- Developed AI-powered xApps which control the RAN at the PHY and MAC layers, for spectrum sharing, simulated/real RANs, and mmWave networks.
- Developed O-RAN E2-like interfaces based on SCTP and Flask, making it easier for researchers to develop xApps.
- Developed software for RAN interference simulation, RAN control, beamforming, and time synchronization of SDRs for UE positioning.
- Advised selection and setup of server equipment, 5G-enabled devices, and SDRs for 5G testbeds.
Education
- Currently pursuing a degree in Computer Engineering at George Mason University (GMU).
Background
- Undergraduate computer engineer experienced in embedded systems, wireless communications, full-stack software development, and music technology.
Miscellany
- Projects: Since 2019, created an open-source platform and hardware suite for replacing I/O hardware used in arcade video games, for use with modern computers. Designed, manufactured, and tested circuit boards utilizing Atmel AVR and ARM microcontrollers. Reverse engineered arcade hardware to replicate functionality and pinouts. Developed firmware to dynamically emulate arcade hardware functionality.
