RDL logo
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
​
​
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Analysis of Spectrum Valuation Elements for Local 5G Networks: Case Study of 3.5-GHz Band

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
English
2019

Analysis of Spectrum Valuation Elements for Local 5G Networks: Case Study of 3.5-GHz Band

0 Datasets

0 Files

English
2019
IEEE Transactions on Cognitive Communications and Networking
Vol 5 (3)
DOI: 10.1109/tccn.2019.2916309

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Matti Latva-aho
Matti Latva-aho

University Of Oulu

Verified
Marja Matinmikko‐Blue
Seppo Yrjölä
Veikko Seppänen
+3 more

Abstract

Radio spectrum is a scarce natural resource, whose efficient management calls for a thorough understanding of its value. A number of spectrum valuation approaches has emerged considering different elements, some with potentially high uncertainty as future profits, total cost of ownership and societal benefits. Spectrum valuation is important in regulators' 5G spectrum decisions and will face a new situation, where location specific services and higher carrier frequencies give rise to local network operator models. This paper analyzes the existing spectrum management and spectrum valuation approaches and identifies key elements to consider, when defining and assessing the value of spectrum especially in the context of future local 5G networks. The growing pressure to open the mobile market for location and vertical specific 5G networks promotes new sharing-based spectrum access models, to allow the emergence of local 5G operators. We characterize the identified spectrum valuation elements in the context of these new local 5G networks from the perspectives of the different stakeholder roles including regulators, mobile network operators (MNOs) and entrant local 5G operators. We further present a spectrum valuation case study of the recent 5G spectrum decisions in the 3.5-GHz band in different countries.

How to cite this publication

Marja Matinmikko‐Blue, Seppo Yrjölä, Veikko Seppänen, Petri Ahokangas, Heikki Hämmäinen, Matti Latva-aho (2019). Analysis of Spectrum Valuation Elements for Local 5G Networks: Case Study of 3.5-GHz Band. IEEE Transactions on Cognitive Communications and Networking, 5(3), pp. 741-753, DOI: 10.1109/tccn.2019.2916309.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2019

Authors

6

Datasets

0

Total Files

0

Language

English

Journal

IEEE Transactions on Cognitive Communications and Networking

DOI

10.1109/tccn.2019.2916309

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access