Validation framework for building a spectrum sharing testbed for integrated satellite-terrestrial systems

Marko Höyhtyä (Corresponding author), Mika Hoppari, Mikko Majanen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    1 Citation (Scopus)

    Abstract

    Development of a testbed for spectrum sharing is a multi-step process requiring systems engineering understanding. The ASCENT project is building a testbed to study licensed spectrum sharing between satellite systems and between satellite and terrestrial systems. The work has been carried out as part of the European Space Agency's (ESA) Advanced Research in Telecommunications Systems (ARTES) programme. The 5G frequency bands currently under study are the 3.6 GHz band and the 26 GHz band. Validation is needed to check that all the requirements are fulfilled and consequently to understand in detail how the spectrum could be shared in the studied bands and what the benefits of different techniques such as licensed shared access (LSA) and power control could be. This paper describes the validation framework that provides guidance for the actual validation and enables creation of an efficient validation plan for different use cases and frequency bands. We also define the architecture for the LSA testbed.

    Original languageEnglish
    Title of host publication27th European Signal Processing Conference (EUSIPCO 2019)
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Number of pages5
    ISBN (Electronic)978-9-0827-9703-9
    ISBN (Print)978-1-5386-7300-3
    DOIs
    Publication statusPublished - Sept 2019
    MoE publication typeA4 Article in a conference publication
    Event27th European Signal Processing Conference, EUSIPCO 2019 - A Coruna, Spain
    Duration: 2 Sept 20196 Sept 2019

    Conference

    Conference27th European Signal Processing Conference, EUSIPCO 2019
    Country/TerritorySpain
    CityA Coruna
    Period2/09/196/09/19

    Keywords

    • 5G
    • Cognitive networks
    • Spectrum databases

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