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Towards a Three Layer Architecture for Dynamic Spectrum Access in Cognitive Radio Networks

Published: 07 March 2019 Publication History

Abstract

Cognitive Radio (CR) is considered as one of the most promising technologies for future wireless communications. To make CR systems practical, CR networks must be able to coexist; this may cause interference to other users. To deal with this problem, the idea of cooperation between users to sense and share spectrum without causing interference is introduced. For the cooperative resolution of problems, we generally use Multi Agent Systems (MAS). In this paper, we propose a multi-agent architecture for spectrum access in an opportunistic way. The architecture consists of three levels: physical, cognitive and behavioral where we propose an approach based on multi-criteria decision making and coalition formation.

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Preston Marshall, Cognitive Radio Technology. Elsevier, 2009.
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Xu, Ding, et al. An Architecture for Cognitive Radio Networks with Cognition, Selforganization and Reconfiguration Capabilities. Vehicular Technology Conference (VTC Fall), 2012 IEEE. IEEE, 2012.
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Tachwali, Yahia, Fadi Basma, and Hazem H. Refai. Cognitive radio architecture for rapidly deployable heterogeneous wireless networks. IEEE Transactions on Consumer Electronics 56.3 (2010): 1426--1432.
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AMRAOUI, Asma, BENMAMMAR, Badr, KRIEF, Francine, et al. Auction-based Agent Negotiation in Cognitive Radio Ad Hoc Networks. In: International Conference on Ad Hoc Networks. Springer Berlin Heidelberg, 2012. p. 119--134.
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Cited By

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  • (2022)Dynamic spectrum allocation based on fuzzy logic in cognitive radio networksAGRIVOLTAICS2021 CONFERENCE: Connecting Agrivoltaics Worldwide10.1063/5.0105775(030003)Online publication date: 2022
  • (2020)Energy preservation and network critic based channel scheduling (EPNCS) in cognitive radio sensor networksInternational Journal of Information Technology10.1007/s41870-020-00523-8Online publication date: 9-Oct-2020

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cover image ACM Other conferences
ArabWIC 2019: Proceedings of the ArabWIC 6th Annual International Conference Research Track
March 2019
136 pages
ISBN:9781450360890
DOI:10.1145/3333165
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • Google Inc.
  • Microsoft: Microsoft
  • Facebook: Facebook
  • ORACLE: ORACLE
  • IBM: IBM

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 March 2019

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Author Tags

  1. Cognitive radio
  2. agents
  3. architecture
  4. coalitions
  5. multi-agent systems
  6. multi-criteria

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  • Research-article
  • Research
  • Refereed limited

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ArabWIC 2019

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ArabWIC 2019 Paper Acceptance Rate 20 of 36 submissions, 56%;
Overall Acceptance Rate 20 of 36 submissions, 56%

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Cited By

View all
  • (2022)Dynamic spectrum allocation based on fuzzy logic in cognitive radio networksAGRIVOLTAICS2021 CONFERENCE: Connecting Agrivoltaics Worldwide10.1063/5.0105775(030003)Online publication date: 2022
  • (2020)Energy preservation and network critic based channel scheduling (EPNCS) in cognitive radio sensor networksInternational Journal of Information Technology10.1007/s41870-020-00523-8Online publication date: 9-Oct-2020

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