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On the Application of Blockchains to Spectrum Management

Weiss, Martin and Werbach, Kevin and Sicker, Douglas and Caicedo, Carlos (2019) On the Application of Blockchains to Spectrum Management. IEEE Transactions on Cognitive Communications and Networking. ISSN 2332-7731

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Spectrum sharing mechanisms have evolved to meet different needs related to increasing spectrum use efficiency. At first, decentralized and opportunistic cognitive radios (and cognitive radio networks) were the primary focus of research for these mechanisms. This gradually transitioned towards the development of cooperative sharing methods based on databases, typified by TV White Spaces databases. Spectrum sharing is now the basis for the dynamic and fine-grained spectrum rights regime for the Citizen’s Band Radio Service (CBRS) as well as for License Shared Access (LSA). The emergence of the cryptocurrency Bitcoin has stimulated interest in applying its underlying technology, blockchain, to other applications as well, such as securities trading and supply chain management. This paper explores the application of blockchain to radio spectrum management. While blockchains could underlie radio spectrum management more broadly, we will focus on dynamic spectrum sharing applications. Like the cooperative approaches currently in use, blockchain is a database technology. However, a blockchain is a decentralized database in which the owner of the data maintains control. We consider the benefits and limitations of blockchain solutions in general, and then examine their potential application to four major categories of spectrum sharing.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Weiss, Martinmbw@pitt.eduMBW0000-0001-6785-0913
Werbach, Kevin
Sicker, Douglas
Caicedo, Carlos
Date: 25 April 2019
Date Type: Acceptance
Journal or Publication Title: IEEE Transactions on Cognitive Communications and Networking
Publisher: Institute of Electrical and Electronics Engineers
DOI or Unique Handle: 10.1109/tccn.2019.2914052
Schools and Programs: School of Computing and Information > Telecommunications
Refereed: Yes
ISSN: 2332-7731
Article Type: Research Article
Date Deposited: 03 May 2019 17:07
Last Modified: 03 May 2019 17:07


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