A novel hyper-heuristic approach for channel assignment in cognitive radio networks

Emrullah Gazioglu; A. Sima Etaner-Uyar; Berk Canberk

doi:10.1007/978-3-319-19824-8_3

A novel hyper-heuristic approach for channel assignment in cognitive radio networks

Emrullah Gazioglu^*, A. Sima Etaner-Uyar, Berk Canberk

^*Bu çalışma için yazışmadan sorumlu yazar

Yapay Zeka ve Veri Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

Wireless networks communicate with each other using radio spectrum bands which are assigned to license owners. Due to the fixed spectrum assignment policy, a large portion of the spectrum stays unused. The aim of cognitive radio is enabling users which do not hold a license to be able to access the spectrum assigned to license owners. In the channel assignment problem, the objective is to assign channels to unlicensed users in order to maximize channel utilization without causing any interference to licensed users. In this study, we propose a hyper-heuristic approach to solve the channel assignment problem in cognitive radio networks. Results show that our approach gives high channel utilization rates by allowing unlicensed users to access the channels owned by licensed users. The results are promising and promote further study.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Mendel 2015 - Recent Advances in Soft Computing
Editörler	Radek Matousek
Yayınlayan	Springer Verlag
Sayfalar	27-38
Sayfa sayısı	12
ISBN (Basılı)	9783319198231
DOI'lar	https://doi.org/10.1007/978-3-319-19824-8_3
Yayın durumu	Yayınlandı - 2015
Etkinlik	21st International Conference on Soft Computing, Mendel 2015 - Brno, Czech Republic Süre: 23 Haz 2015 → 25 Haz 2015

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	378
ISSN (Basılı)	2194-5357

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	21st International Conference on Soft Computing, Mendel 2015
Ülke/Bölge	Czech Republic
Şehir	Brno
Periyot	23/06/15 → 25/06/15

Bibliyografik not

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

Belgeye Erişim

10.1007/978-3-319-19824-8_3

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@inproceedings{03e86c02837441dfb659eae8fc988218,

title = "A novel hyper-heuristic approach for channel assignment in cognitive radio networks",

abstract = "Wireless networks communicate with each other using radio spectrum bands which are assigned to license owners. Due to the fixed spectrum assignment policy, a large portion of the spectrum stays unused. The aim of cognitive radio is enabling users which do not hold a license to be able to access the spectrum assigned to license owners. In the channel assignment problem, the objective is to assign channels to unlicensed users in order to maximize channel utilization without causing any interference to licensed users. In this study, we propose a hyper-heuristic approach to solve the channel assignment problem in cognitive radio networks. Results show that our approach gives high channel utilization rates by allowing unlicensed users to access the channels owned by licensed users. The results are promising and promote further study.",

author = "Emrullah Gazioglu and Etaner-Uyar, {A. Sima} and Berk Canberk",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 21st International Conference on Soft Computing, Mendel 2015 ; Conference date: 23-06-2015 Through 25-06-2015",

year = "2015",

doi = "10.1007/978-3-319-19824-8_3",

language = "English",

isbn = "9783319198231",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "27--38",

editor = "Radek Matousek",

booktitle = "Mendel 2015 - Recent Advances in Soft Computing",

address = "Germany",

}

Gazioglu, E, Etaner-Uyar, AS & Canberk, B 2015, A novel hyper-heuristic approach for channel assignment in cognitive radio networks. in R Matousek (ed.), Mendel 2015 - Recent Advances in Soft Computing. Advances in Intelligent Systems and Computing, hac. 378, Springer Verlag, pp. 27-38, 21st International Conference on Soft Computing, Mendel 2015, Brno, Czech Republic, 23/06/15. https://doi.org/10.1007/978-3-319-19824-8_3

A novel hyper-heuristic approach for channel assignment in cognitive radio networks. / Gazioglu, Emrullah; Etaner-Uyar, A. Sima; Canberk, Berk.
Mendel 2015 - Recent Advances in Soft Computing. ed. / Radek Matousek. Springer Verlag, 2015. p. 27-38 (Advances in Intelligent Systems and Computing; Hac. 378).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - A novel hyper-heuristic approach for channel assignment in cognitive radio networks

AU - Gazioglu, Emrullah

AU - Etaner-Uyar, A. Sima

AU - Canberk, Berk

PY - 2015

Y1 - 2015

N2 - Wireless networks communicate with each other using radio spectrum bands which are assigned to license owners. Due to the fixed spectrum assignment policy, a large portion of the spectrum stays unused. The aim of cognitive radio is enabling users which do not hold a license to be able to access the spectrum assigned to license owners. In the channel assignment problem, the objective is to assign channels to unlicensed users in order to maximize channel utilization without causing any interference to licensed users. In this study, we propose a hyper-heuristic approach to solve the channel assignment problem in cognitive radio networks. Results show that our approach gives high channel utilization rates by allowing unlicensed users to access the channels owned by licensed users. The results are promising and promote further study.

AB - Wireless networks communicate with each other using radio spectrum bands which are assigned to license owners. Due to the fixed spectrum assignment policy, a large portion of the spectrum stays unused. The aim of cognitive radio is enabling users which do not hold a license to be able to access the spectrum assigned to license owners. In the channel assignment problem, the objective is to assign channels to unlicensed users in order to maximize channel utilization without causing any interference to licensed users. In this study, we propose a hyper-heuristic approach to solve the channel assignment problem in cognitive radio networks. Results show that our approach gives high channel utilization rates by allowing unlicensed users to access the channels owned by licensed users. The results are promising and promote further study.

UR - http://www.scopus.com/inward/record.url?scp=84946736383&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-19824-8_3

DO - 10.1007/978-3-319-19824-8_3

M3 - Conference contribution

AN - SCOPUS:84946736383

SN - 9783319198231

T3 - Advances in Intelligent Systems and Computing

SP - 27

EP - 38

BT - Mendel 2015 - Recent Advances in Soft Computing

A2 - Matousek, Radek

PB - Springer Verlag

T2 - 21st International Conference on Soft Computing, Mendel 2015

Y2 - 23 June 2015 through 25 June 2015

ER -

A novel hyper-heuristic approach for channel assignment in cognitive radio networks

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Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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