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Aggregation-based spectrum assignment in cognitive radio networks

Aggregation-based spectrum assignment in cognitive radio networks

Rostami, Soheil, Arshad, Kamran and Rapajic, Predrag (2013) Aggregation-based spectrum assignment in cognitive radio networks. In: ICACCS 2013 - Proceedings of the 2013 International Conference on Advanced Computing and Communication Systems: Bringing to the Table, Futuristic Technologies from Around the Globe. Institute of Electrical and Electronics Engineers Inc., Piscataway, NJ, USA, pp. 1-6. ISBN 978-1-4799-3506-2 (doi:https://doi.org/10.1109/ICACCS.2013.6938698)

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Abstract

Cognitive radio has been introduced as a promising solution to the apparent problem of spectrum scarcity by exploiting unused portions of spectrum. The available spectrum bands or whitespaces are usually fragmented and discontinuous. In order to fulfil ever increasing demand for higher bandwidth, cognitive radio can exploit multiple whitespaces together to satisfy users' requirements by aggregating contiguous or fragmented portions of spectrum. In this paper, a novel genetic algorithm based spectrum aggregation scheme is proposed by taking into consideration the realistic constraints of co-channel interference and maximum aggregation span. Numerical results show that our method significantly increases the spectrum utilisation compared with the state-of-the-art solutions.

Item Type: Conference Proceedings
Title of Proceedings: ICACCS 2013 - Proceedings of the 2013 International Conference on Advanced Computing and Communication Systems: Bringing to the Table, Futuristic Technologies from Around the Globe
Additional Information: [1] Acknowledgment (funding): The research leading to these results was derived from the University of Greenwich Vice Chancellors PhD Scholarships with reference number VCS-ENG-04–12. [2] Presented and published in proceedings of 2013 International Conference on Advanced Computing and Communication Systems (ICACCS): Bringing to the Table, Futuristic Technologies from Around the Globe, held 19-21 December 2013, Sri Eshwar College of Engineering' Campus, Coimbatore, India.
Uncontrolled Keywords: cognitive networks, genetic algorithm, spectrum aggregation, spectrum assignment
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / Department / Research Group: Faculty of Engineering & Science
Related URLs:
Last Modified: 14 Oct 2016 09:30
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/12898

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