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Uncertainties in Spectrum Interference Predictions and Smart Contracts for Spectrum Sharing

Abstract: The value of commercial spectrum licenses continues to grow and sharing bands across different services and uses has become more common. Many spectrum policy and licensing decisions are based on predictions computed using inappropriate path loss models. The predictive models used to make potential interference assertions are typically overly conservative, leading to white spaces or fallow spectrum use. Treatments of measurement uncertainty is a well-studied science in fields such as metrology. We have been advocating the application of measurement and predictive uncertainties to the models that lead to the multi-billion-dollar spectrum licensing decisions. When spectrum decisions are location-based, adding fixed and mobile spectrum monitoring sensors to record the spectrum landscape and spectrum conditions in the bands of interest also informs policy and spectrum allocation decisions.

In the face of exponentially growing spectral demands there have been recent changes to spectrum rulemaking and spectrum access technologies, such as Citizens’ Broadband Radio Service (CBRS) incorporates distributed sensors and spectrum access system to make spectrum allocation decisions in near real time. Adding a dynamic spectrum access system using Smart Contracts would allow changes to the spectrum access terms in real-time thus improving the multi-tiered licensing architecture and fill the white spaces. These smart contracts would allow real time valuations and sharing license to the highest or most appropriate bidder benefiting all stakeholders.

Bio: Mark Lofquist is a member of the Wireless Interdisciplinary Research Group (WIRG), University of Colorado, Boulder, CO. Dr. Lofquist works as a Research Associate at the WIRG and as an Adjunct Professor, teaching the CYBR/CSCI 5200 Introduction to Wireless Systems course. He also is writing the online CU/Coursera courses titled Spectrum Fundamentals and Spectrum Management and Policy. Mark also works as a Chief Engineer at the Aerospace Corporation, a federally funded research and development center helping the defense department to manage spectrum, predict interference conditions, and recommend policy prescriptions for spectrum access. Mark is a former Defense Department Lead and founder of the National Advanced Spectrum and Communications Test Network, a joint Defense and Commerce Department spectrum testing capability. He received a Ph.D. in Technology, Cybersecurity and Policy at The University of Colorado, Boulder and Bachelors and Masters in Electrical Engineering at the Virginia Polytechnic and State University in Blacksburg, Virginia.

https://cuboulder.zoom.us/j/190280621

  • Prasanth Prahladan
  • Abhay Natrajan

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