Bring your own spectrum (BYOS) – A tiered architecture supporting flexible spectrum allocation
Madhulika Tripathi,
Braden Phillips and
Matthew Sorell
30th European Regional ITS Conference, Helsinki 2019 from International Telecommunications Society (ITS)
Abstract:
In this paper we present an innovative framework suitable for the next generation of wireless spectrum allocation. We call our framework - Bring Your Own Spectrum (BYOS) - to highlight the Spectrum as a Service (SaaS) nature of the architecture that allows all participants to be potential spectrum owners. The BYOS framework has a tiered and flexible architecture that is technology-neutral and allows multiple trading and sharing formats among a varied array of buyers and sellers. To develop the BYOS framework, we tackled the spectrum allocation problem using a top down approach. We make use of a quasi-static model of spectrum allocation in which allocation is specific to the type of operators, to build a tiered architecture. The framework also introduces two other novel concepts - a usagebased trading unit that is common across both long and shorter terms and the token-bucket system (used in network traffic management) for managing competition. The process is automated by making use of smart contract over a public ledger based system.
Keywords: spectrum allocation; public ledger; smart contract (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.econstor.eu/bitstream/10419/205218/1/Tripathi-et-al.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:zbw:itse19:205218
Access Statistics for this paper
More papers in 30th European Regional ITS Conference, Helsinki 2019 from International Telecommunications Society (ITS)
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().