Growing into an Adaptive and Reconfigurable Paradigm for Spectrum Sharing

A significant movement from rigid use of the wireless spectrum toward adaptive and reconfigurable spectrum use has been prompted by increasing spectral crowding. Some bands have moved to an adaptive sharing model, and proposals are growing for this approach to be applied to additional bands. The process of moving from a fixed, rigid spectrum paradigm to adaptive and reconfigurable use involves maturation of policy and technology at multiple levels within the system of systems. Using the concept of Bloom's Taxonomy from the education discipline, this paper examines the development of a policy and technology progression toward a mature, adaptive and reconfigurable paradigm.

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Publication Details

Published
2025-04-14
DOI
https://doi.org/10.1109/wamicon64429.2025.11004081
Citations
1
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
1.49
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Growing into an Adaptive and Reconfigurable Paradigm for Spectrum Sharing

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1 citations
Distributed and Parallel Computing Systems
1.49
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Growing into an Adaptive and Reconfigurable Paradigm for Spectrum Sharing

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article en
1 citations

Abstract

A significant movement from rigid use of the wireless spectrum toward adaptive and reconfigurable spectrum use has been prompted by increasing spectral crowding. Some bands have moved to an adaptive sharing model, and proposals are growing for this approach to be applied to additional bands. The process of moving from a fixed, rigid spectrum paradigm to adaptive and reconfigurable use involves maturation of policy and technology at multiple levels within the system of systems. Using the concept of Bloom's Taxonomy from the education discipline, this paper examines the development of a policy and technology progression toward a mature, adaptive and reconfigurable paradigm.

Baylor University (US), Keysight Technologies (United Kingdom) (GB)
Openalex Percentile: Top 17%
Distributed and Parallel Computing Systems
1.49
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Growing into an Adaptive and Reconfigurable Paradigm for Spectrum Sharing — Andrew Paul Clegg, Charles Baylis, et al. · (2025) | TGRS Research Map | TGRS