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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 1/2018

16.08.2017

Designing a MAC Algorithm for Equitable Spectrum Allocation in Cognitive Radio Wireless Networks

verfasst von: Danilo Alfonso López, Camilo Anzola Rojas, Diego Fernando Zapata, Edwin Rivas Trujillo

Erschienen in: Wireless Personal Communications | Ausgabe 1/2018

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Abstract

Spectrum sharing is one of the most important stages in cognitive radio wireless networks, responsible for the opportunistic allocation of free channels to unlicensed users (SUs) to be utilized in data transmission. One of the critical issues at this stage, is related to the absence of a module capable of allocating the available resources fairly to all network users. In this sense, the paper develops a media access control protocol (MAC) for cognitive networks based on infrastructure called CRUD-MAC, which allows to take advantage of channel access in a more equitable and efficient way; for this purpose two algorithms we designed within the MAC standard (using ANFIS and FAHP) for the ranking or classification of SUs by score when assigned channels based on network usage historical metrics, so that nodes with better ranking have priority in the allocation. Validation of the proposals was made by comparing the performance of CRUD-MAC with ANFIS, FAHP, and a channel assignment algorithm, not including ranking. The results show that the system is more efficient from the standpoint of fair allocation of resources.
Vorheriger Artikel Joint Power and Time Allocation Scheme with QoS Constraints in Overlay Multi-user Cognitive Radio Networks
Nächster Artikel Optimal Guard Distance for Maximizing Spatial-Temporal Spectrum Access Opportunity in Mobile CRNs

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Metadaten
Titel
Designing a MAC Algorithm for Equitable Spectrum Allocation in Cognitive Radio Wireless Networks
verfasst von
Danilo Alfonso López
Camilo Anzola Rojas
Diego Fernando Zapata
Edwin Rivas Trujillo
Publikationsdatum
16.08.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2018
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4873-0

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