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

• Supported by NSF CNS #1731833
• Investigator(s)
  • Dr. Mehmet C. Vuran (Principal Investigator)
  • Dr. Demet Batur (Co-Principal Investigator)
  • Dr. Qiben Yan (Co-Principal Investigator)
  • Dr. Jennifer Ryan (Co-Principal Investigator)
• Media
  • US Ignite, Inc. Announces Lincoln, Nebraska will Join Rapidly Growing Network of Smart Gigabit Communities, November 29, 2017
  • Lincoln Mayor Chris Beutler announced Lincoln’s new designation as a Smart Gigabit Community (SGC), December 11, 2017
  • Researchers to assist with Smart Gigabit Communities project, December 11, 2017
• Publications
  1. Zhao, Z., and M. C. Vuran, “Modeling Aggregate Interference with Heterogeneous Secondary Users and Passive Primary Users for Dynamic Admission and Power Control in TV Spectrum”, in Proc. Int. Balkan Conference on Communications and Networking (BalkanCom’18), Podgorica, Montenegro, 06/2018.

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

• Supported by NSF Grant CNS #1247941
• Investigator(s)
  • Dr. Mehmet C. Vuran (Principal Investigator)
  • Dr. Demet Batur (Co-Principal Investigator)
• Publications
  1. Zhao, Z., M. C. Vuran, D. Batur, and E. Ekici, “Ratings for Spectrum: Impacts of TV Viewership on TV Whitespace”, IEEE Globecom 2014, Austin, TX, IEEE, pp. 941-947, Dec. 2014.
  2. Rempe, D., M. Snyder, A. Pracht, A. Schwarz, T. Nguyen, M. Vostrez, Z. Zhao, and M. C. Vuran, “A Cognitive Radio TV Prototype for Effective TV Spectrum Sharing”, 2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), Baltimore, MD, IEEE, pp. 117-118, 03/2017.
  3. Demet Batur, Jennifer Ryan, Zhongyuan Zhao, and Mehmet C. Vuran, “Dynamic Pricing of Wireless Internet Based on Usage and Stochastically Changing Capacity,” Manufacturing and Service Operations Management, In Press.
  4. Zhongyuan Zhao, Mehmet C. Vuran, Demet Batur, and Eylem Ekici, “Shades of White: Impacts of Population Dynamics and TV Viewership on Available TV Spectrum,” IEEE Transactions on Vehicular Technology, Accepted for Publication.

Vehicle-to-barrier communications

• Supported by NSF Grants CNS-0953900, CNS-1247941, DBI-1331895, and CNS-1423379 awards.
• Media
  • Smart Barriers Show Potential To Reduce ‘Run-Off-Road’ Vehicle Crashes, November 28, 2018
• Publications
  1. S. Tamel, M. C. Vuran, M.M.R. Lunar, Z. Zhao, A. Salam, R. K. Faller, C. and Stolle, “Vehicle-to-Barrier Communication During Real-World Vehicle Crash Tests,” Computer Communications, Vol 127, Sep. 2018, pp. 172-186.