Due to recent increases in mobile broadband services by consumers, the Federal Communications Commission (FCC) is compelled to make more spectrum available for commercial use. The FCC spectrum-service rulemaking process does not formally assess risk of interference, apply statistical distributions, or recommend coexistence testing. The methodology developed in this dissertation proposes a framework that applies risk, statistics, and coexistence testing and demonstrates how spectrum regulatory decision-making processes would benefit from using a more technically defensible approach. Allowing new systems into a spectrum band can cause interference to the operating incumbent users but preventing new commercial spectrum systems can have negative economic and technological repercussions. Therefore, carefully assessing the effects of a more heavily used spectrum by treating analytical spectrum coexistence testing metrics as distributions can lead to more information-based, data-driven decision making.
When using risk assessments, regulators’ decisions will improve to include results from well-engineered and transparent spectrum coexistence testing accounting for measurement uncertainties with translations to real-world deployments by accounting for all applicable variabilities.
|Advisor:||Gifford, Kevin, Reed, David|
|Commitee:||McGillivray, Duncan, Hatfield, Dale|
|School:||University of Colorado at Boulder|
|Department:||Technology, Cybersecurity, and Policy|
|School Location:||United States -- Colorado|
|Source:||DAI-A 81/7(E), Dissertation Abstracts International|
|Subjects:||Engineering, Public policy|
|Keywords:||FCC, GPS, LTE, Policy, Spectrum, Wireless|
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