0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free Access5G will change the mobile communication business ecosystem by introducing location specific high-quality wireless networks that can by operated by different stakeholders.This development will change the traditional business models and ecosystem roles, as well as open the market for new local mobile network operators.These operators, such as recently introduced micro operators, can target specific customers in different vertical sectors with closed 5G networks, serve mobile network operator's (MNO) customers in high-demand areas on behalf of the MNO as a neutral host with open 5G networks, or mix different types of customers and offerings through various hybrid business models.This paper discusses business model options for local 5G micro operators, addressing also the different network deployment options.Three generic 5G business models and respective value ecosystems are presented: Vertical business model and ecosystem, Horizontal business model and ecosystem, and Oblique business model and ecosystem.Finally, the scalability, adaptability and sustainability of the business models and ecosystems are examined.
Petri Ahokangas, Marja Matinmikko‐Blue, Seppo Yrjölä, Veikko Seppänen, Heikki Hämmäinen, Risto Jurva, Matti Latva-aho (2019). Business Models for Local 5G Micro Operators. IEEE Transactions on Cognitive Communications and Networking, 5(3), pp. 730-740, DOI: 10.1109/tccn.2019.2902547.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2019
Authors
7
Datasets
0
Total Files
0
Language
English
Journal
IEEE Transactions on Cognitive Communications and Networking
DOI
10.1109/tccn.2019.2902547
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access
