As an undergraduate at Carnegie Mellon University, I conducted research with the CMU Wireless Sensing and Embedded Systems (WiSE) Lab and their OpenChirp project into the best policy practices and technical solutions to scale low-power wide-area networks (LPWAN) across the United States. It was a great opportunity to leverage my dual engineering and policy expertise in order to improve community access to wireless spectrum.

Policy implications of scaling low-power wide-area networks over white spaces

Abstract:

Low-power wide-area networks (LPWAN) have the potential to revolutionize the Internet of Things by providing a reliable and low-cost solution for communication between embedded devices. However, the lack of currently available wireless spectrum increases interference and limits the capacity of these networks to scale. To address this limitation, I propose the integration of unused white space spectrum to boost the bandwidth and capabilities of LPWAN. Additionally, I discuss the policy implications and technical challenges of scaling LPWAN across the United States, designing mechanisms for bottom-up coordination of contributors.