Energy efficient spectrum access in cognitive wireless access networks

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dc.contributor.authorChen, Tao
dc.contributor.authorMatinmikko, Marja
dc.contributor.authorSer, Javier Del
dc.contributor.authorZhang, Jianhua
dc.contributor.institutionIA
dc.date.accessioned2024-07-24T12:12:21Z
dc.date.available2024-07-24T12:12:21Z
dc.date.issued2012-07
dc.description.abstractIt is estimated that by 2020 the traffic in wireless access networks will increase drastically as compared to the 2010 level. To meet this challenge, it needs the huge increase of spectrum, very high spectrum efficiency, dense deployment of small cells, and highly energy efficient solutions. Combining these together, we believe that the cognitive wireless access network would be a promising solution. In this paper, we study the energy efficient spectrum access problem in dynamic spectrum access (DSA) based wireless access networks, in which densely deployed access points (AP) provide open access tomobile terminals (MT) by spectrum opportunities enabled by primary users (PU). The question is how the spectrum is allocated to MT via AP so that the bit/energy to deliver the data is maximized. We separate the problem into the channel selection problem of AP and the AP association problem of MT, and propose the distributed AP channel selection algorithm and MT association algorithm, which are run on the AP and MT separately, with a joint goal to improve the bit/energy delivery by the efficient use of spectrum. The proposed algorithms only rely on local information exchange to estimate inter-cell interference, and are therefore scalable to large networks. The performance of the proposed algorithms are evaluated by simulation. It shows in average around 10% bit/energy improvement over the algorithms which randomly allocate channels and associate MTs.en
dc.description.statusPeer reviewed
dc.format.extent24
dc.identifier.citationChen , T , Matinmikko , M , Ser , J D & Zhang , J 2012 , ' Energy efficient spectrum access in cognitive wireless access networks ' , Journal of Green Engineering , vol. 2 , no. 4 , pp. 305-328 .
dc.identifier.issn1904-4720
dc.identifier.urihttps://hdl.handle.net/11556/4273
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84876183061&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofJournal of Green Engineering
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsChannel assignment
dc.subject.keywordsCognitive radio system
dc.subject.keywordsEnergy efficiency
dc.subject.keywordsInterference control
dc.subject.keywordsWireless access network
dc.subject.keywordsEnvironmental Engineering
dc.subject.keywordsSDG 7 - Affordable and Clean Energy
dc.titleEnergy efficient spectrum access in cognitive wireless access networksen
dc.typejournal article
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