Technology Adoption in Spectrum Sharing: Estimating the Impact on Incumbents in the 3.5GHz Band

14 Pages Posted: 29 Jul 2019

See all articles by Marcela Gomez

Marcela Gomez

University of Pittsburgh - School of Information Sciences

Martin B. H. Weiss

University of Pittsburgh - School of Computing and Information

Seongmin Park

University of Pittsburgh - School of Information Sciences

Prashant Krishnamurthy

University of Pittsburgh

Date Written: July 26, 2019

Abstract

In spectrum sharing, incumbents are concerned about interference to their operations caused by spectrum entrants. Technical approaches, such as cognitive radios, spectrum databases, etc. have been developed in an attempt to minimize this interference. Whether the interference is co-channel or adjacent-channel, the power level of the interfering signal depends on the number of entrant radios and their spatial relationship to the incumbent operations.

In this paper, we report on a modelling approach that is based on technology adoption literature and uses a tool that was developed for epidemiology to empirically estimate received signal power in a particular geographic location for a particular sharing framework (CBRS). Using this tool, we can estimate the received signal strength a particular points in space (US Naval base, in particular) under different technology adoption profiles, and allow these to change over time.

Keywords: Spectrum Sharing, CBRS band, Technology Adoption, Innovation Diffusion, Agent-based Modeling

Suggested Citation

Gomez, Marcela and Weiss, Martin B. H. and Park, Seongmin and Krishnamurthy, Prashant, Technology Adoption in Spectrum Sharing: Estimating the Impact on Incumbents in the 3.5GHz Band (July 26, 2019). TPRC47: The 47th Research Conference on Communication, Information and Internet Policy 2019, Available at SSRN: https://ssrn.com/abstract=3427514 or http://dx.doi.org/10.2139/ssrn.3427514

Marcela Gomez (Contact Author)

University of Pittsburgh - School of Information Sciences ( email )

United States

Martin B. H. Weiss

University of Pittsburgh - School of Computing and Information ( email )

135 N Bellefield Ave
Pittsburgh, PA 15260
United States

Seongmin Park

University of Pittsburgh - School of Information Sciences ( email )

United States

Prashant Krishnamurthy

University of Pittsburgh ( email )

135 N Bellefield Ave
Pittsburgh, PA 15260
United States

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