279
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Polycentric Governance and Decentralized Decision-Making for Pervasive Spectrum Sharing

, , , &
Pages 659-668 | Published online: 12 Dec 2021
 

ABSTRACT

Sharing of wireless spectrum is a techno-economic challenge increasing in its importance as the common-pool resource of cellular spectrum is decreasing at a worrisome rate. Researchers as well as policymakers are focused on improving the utilization and efficiency of spectrum due to its static allocation, lack of appropriate regulatory policies, and emerging public management challenges. Polycentric governance provides a framework possessing a multitude of institutional attributes with the capacity to provide essential explanation power for this complex policy and governance problem. Polycentric governance can assist by promoting a decentralized decision-making structure incorporating diverse stakeholders and their interactions in the current spectrum ecosystem. It also incorporates a scientific basis translated for each stakeholder to assist in decision-making and generating regulations and incentives that can operate on multiple levels. This paper applies polycentric governance to spectrum sharing and explores a game-theoretic framework for modeling effectiveness.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This material is based upon work supported by the National Science Foundation awards 1443946, 1663761, and 1647189.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 663.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.