Home // International Journal On Advances in Intelligent Systems, volume 10, numbers 3 and 4, 2017 // View article
Authors:
Seppo Yrjölä
Marja Matinmikko
Miia Mustonen
Petri Ahokangas
Keywords: business model; cognitive radio; markets and hierarchies; sharing economy; spectrum sharing
Abstract:
The exponential growth of wireless services with diversity of devices and applications depending on connectivity has inspired the research community to come up with novel concepts to improve the efficiency of spectrum use. Recently, several spectrum sharing system concepts have been introduced and widely researched to cope with spectrum scarcity, though, to date, only a few have reached the policy and standardization phase. Moreover, only a subset of these concepts has gained industry interest with pre-commercial deployments and lucrative business model characteristics. This paper analyzes sharing economy business antecedent factors of the three topical regulatory approaches for spectrum sharing: global TV White Space (TVWS), Licensed Shared Access (LSA) from Europe, and Citizens Broadband Radio Service (CBRS) from the US. A comparison is made between these concepts to identify similarities and differences for developing a successful scalable sharing concept. Key factors for a sharing economy enabled scalable business model are introduced including platform, reduced need for the ownership, leverage of underutilized assets, adaptability to different policy regimes, trust, and value orientation. The results indicate that all analyzed sharing concepts meet basic requirements to scale, TVWS radically lowering entry barrier, LSA leveraging key existing assets and capabilities of mobile network operators, and CBRS extending the business model dynamics. By reducing the costs of spectrum coordination, spectrum sharing concepts will lead to an overall shift from hierarchies towards more use of markets to coordinate economic activity related to spectrum assets. The Sharing Economy and Markets and Hierarchies frameworks provide a dynamic framework for analyzing and developing the spectrum sharing business models.
Pages: 410 to 422
Copyright: Copyright (c) to authors, 2017. Used with permission.
Publication date: December 31, 2017
Published in: journal
ISSN: 1942-2679