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Managing Policies for Dynamic Spectrum Access

Authors: David Lewis 0001; Kevin Feeney; Kevin Foley; Linda Doyle; Timothy K. Forde; Patroklos G. Argyroudis; John Keeney; +1 Authors

Managing Policies for Dynamic Spectrum Access

Abstract

The advent of software radio technology and the resulting potential for dynamic access to the radio spectrum presents major new challenges in managing that access. These challenges arise from the likely spread of spectrum access decision-making authority well beyond existing regulatory authorities to a wide variety of co-existing market-based or open-access schemes. Policy-based management mechanisms are proposed as a flexible means for defining the rules that determine spectrum allocation dynamically. However, many existing policy based mechanisms rely on a fixed organisation structure and so are insufficiently flexible to support combinations of central allocation, market mechanisms and commons usage. In this paper we present the application of a novel policy-based management mechanism based on self-managing communities to the management of policy authoring authority. We show how an existing implementation could be used to manage a software-based radio system and how this approach provides self-organisation of multiple groupings with differing goals and policies in the allocation of spectrum. This is illustrated by taking real world policy authoring scenario from the world first software radio test license.

Country
Ireland
Related Organizations
Keywords

Digital Engagement, Computer Science, Telecommunications

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    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Top 10%
bronze