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Cited by 1,690

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A survey on spectrum management in cognitive radio networks

Akyildiz, I.F., Won-Yeol Lee, Vuran, M.C., Mohanty, S.·2008·IEEE Communications Magazine

Abstract

Cognitive radio networks will provide high bandwidth to mobile users via heterogeneous wireless architectures and dynamic spectrum access techniques. However, CR networks impose challenges due to the fluctuating nature of the available spectrum, as well as the diverse QoS requirements of various applications. Spectrum management functions can address these challenges for the realization of this new network paradigm. To provide a better understanding of CR networks, this article presents recent developments and open research issues in spectrum management in CR networks. More specifically, the discussion is focused on the development of CR networks that require no modification of existing networks. First, a brief overview of cognitive radio and the CR network architecture is provided. Then four main challenges of spectrum management are discussed: spectrum sensing, spectrum decision, spectrum sharing, and spectrum mobility.

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Metadata

Authors
Akyildiz, I. F., Lee, W.-Y., Vuran, M. C., & Mohanty, S.
Venue
IEEE Communications Magazine
Published
2008-04
Volume
46
Issue
4
Pages
40-48
ISSN
0163-6804 (ISSN-L)
OpenAlex
W2049468127
Cited by
1,690
References
1
FWCI
176.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A survey on spectrum management in cognitive radio networks. https://app.cochat.ai/papers/10.1109/mcom.2008.4481339
The paper
Akyildiz, I. F., Lee, W.-Y., Vuran, M. C., & Mohanty, S. (2008). A survey on spectrum management in cognitive radio networks. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2008.4481339

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.