The wireless revolution is fueling the demand for access to the radio frequency spectrum. Smartphones, wearables, modern cars, and smart homes are all competing for spectrum resources. Managing this increasing demand is an important and timely research challenge. Dynamic Spectrum Allocation (DSA) methods allow multiple wireless networks to collaboratively adapt in real-time to dynamic RF frequency environments. In this project, we consider intelligent wireless networks that exchange Spectrum Consumption Models (SCMs) in order to dynamically coordinate the spectrum usage aiming to avoid harmful interference. Students working on this project will construct SCMs based on real measurements of wireless signals, develop novel frequency coordination protocols based on SCMs, and implement the protocols in a custom-built python simulator and/or in a Software-Defined Radio testbed.

Selected candidate(s) can receive a stipend directly from the faculty advisor. This is not a guarantee of payment, and the total amount is subject to available funding.

Faculty Advisor

  • Professor: Gil Zussman
  • Center/Lab: Electrical Engineering and Computer Science
  • Location: CEPSR 8th floor
  • The Wireless and Mobile Networking lab focuses on next generation (beyond-5G) wireless networks and cover the entire spectrum between the physical layer and the application layer. Specifically, projects focus on applying learning tools to networks and on using networks to support learning and inference (for example, in smart city environments).

Project Timeline

  • Earliest starting date: 3/1/2022
  • End date: 8/25/2022
  • Number of hours per week of research expected during Spring/Summer 2022: ~10
  • Number of hours per week of research expected during Summer 2022: ~35

Candidate requirements

  • Skill sets: Some experience with Python and MATLAB is required. Some background in Wireless Communications is preferred.
  • Student eligibility: freshman, sophomore, junior, senior, master’s
  • International students on F1 or J1 visa: eligible
  • Academic Credit Possible: Yes