Summary
Overview
Work History
Education
Skills
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George-Valentin Frangulea

United Kingdom

Summary

Experienced wireless communications researcher with expertise in system-level software development, communications theory, and RF hardware integration. Skilled in applying cutting-edge research to develop practical, standards-compliant networking systems, leveraging strong programming capabilities and RF expertise. Proven experience in designing and implementing 3GPP-compliant 5G/6G procedures for unlicensed spectrum, including channel access, interference suppression, and RF coexistence. Proficient in ns-3 for end-to-end simulations, delivering robust, scalable full-stack solutions used to model next-generation networks. Awarded UKRI research funding to advance Industry 4.0 cellular operations in unlicensed spectrum.

Overview

1
1
year of professional experience
8
8
years of post-secondary education

Work History

Research fellow at the University of Toronto

UKRI-Funded
Toronto, Canada
06.2023 - 08.2023
  • Designed a multi-channel access procedure for cellular operation in unlicensed spectrum.
  • Developed ns-3/ns3-gym environment for reinforcement learning optimisation.
  • Secured UKRI funding for the project "Enabling Beyond-5G Industrial IoT through Intelligent Networking in Unlicensed Spectrum" (Grant Ref: NE/X007243/1).


Visiting researcher

Centre Tecnològic Telecomunicacions de Catalunya
Castelldefels, Spain
12.2022 - 05.2023
  • Implemented 3GPP-compliant 5G New Radio Unlicensed (NR-U) in network simulator ns-3, released as open-source.
  • Proposed and implemented techniques to improve channel access and reduce interference.
  • Conducted in-depth analysis of RF coexistence between 3GPP (NR-U) and IEEE (Wi-Fi) technologies.
  • Published in ACM ICNS3 2024; an additional paper is under review in Elsevier Computer Communications (Q1 Journal).

Education

PhD (EPSRC scholarship) - Electronic Engineering

University of Kent
09.2020 - 03.2025

MEng (Hons) - Electronic and Communications Engineering

University of Kent
09.2016 - 07.2020

Skills

  • Programming languages: C, MATLAB, Bash, Python
  • Network simulators: ns-3, 5G-LENA, ns3-gym
  • RF Equipment: Software Defined Radios, Antenna Arrays, Spectrum Analyzer, Oscilloscope
  • Machine learning methods and tools: Deep Reinforcement Learning, ns3-gym, PyTorch, Tensorflow
  • Communication theory: RF Coexistence, Interference suppression (eg, beam pattern nulling, Listen-Before-Talk channel access), Massive MIMO Transmission Design, 5G NR / NR-U, Wi-Fi
  • Optimisation and statistical modeling: Markov Decision Processes
  • Data science tools: SQL


Custom

  • G. V. Frangulea, B. Bojović , P. Assimakopoulos, S. Lagén "NR-U PHY Layer Procedures for Enhanced Spatial Reuse and Coexistence in the Unlicensed Spectrum" [to be submitted to IEEE TCCN]
  • G. V. Frangulea, P. Assimakopoulos, B. Bojović , S. Lagén "NR-U and Wi-Fi Unlicensed Spectrum Sharing: Design Challenges and Solutions", Journal Computer Communications [under review]
  • G. V. Frangulea, P. Assimakopoulos, B. Bojović , S. Lagén "NR-U and Wi-Fi Coexistence in sub-7 GHz Bands: Implementation and Evaluation of NR-U Type 1 Channel Access in ns-3" , Proceedings of ACM ICNS3 2024.
  • G. Frangulea, P. Assimakopoulos, S. Noor, H. Zhu, and N. Gomes, “5G Impact on the EM Spectrum”, 2020, Leonardo MW Ltd, [Confidential Report].
  • G. Frangulea, et al., 5G-DRIVE Deliverable D3.3, Horizon 2020, Contribution: Patch Antenna Array System, Gain, and Radiation Pattern.

Timeline

Research fellow at the University of Toronto

UKRI-Funded
06.2023 - 08.2023

Visiting researcher

Centre Tecnològic Telecomunicacions de Catalunya
12.2022 - 05.2023

PhD (EPSRC scholarship) - Electronic Engineering

University of Kent
09.2020 - 03.2025

MEng (Hons) - Electronic and Communications Engineering

University of Kent
09.2016 - 07.2020

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George-Valentin Frangulea