Cognitive Radio Networks

My dissertation is on cognitive radio networks – a family of technologies that enables next generation wireless networks to learn and adapt to its radio environment. My toolbox includes:

  • Mathematical Models
  • Machine Learning, Deep Learning
  • High Performance Computing
  • Wireless Experiments

Specifically, I work on technical and business problems such as how wireless networks could share the radio spectrum more efficiently (dynamic spectrum access), how network operators could profit from stochastic resource and demands (dynamic pricing), and how to make smarter transceivers (deep learning-based wireless physical layers).

SpecEES: Collaborative Research: CoSeC-RAN: Cognitive Secure Cloud RAN for Efficient Spectrum Sharing

Cog-TV: Business and Technical Analysis of Cognitive Radio TV Sets for Enhanced Spectrum Access

Vehicle-to-barrier communications