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Conference Paper: Joint radio resource management based on the species competition model

TitleJoint radio resource management based on the species competition model
Authors
KeywordsHeterogeneous wireless network
Joint radio resource management
L-V model
Species
Issue Date2006
PublisherIEEE, Communications Society.
Citation
Ieee Wireless Communications And Networking Conference, Wcnc, 2006, v. 1, p. 52-57 How to Cite?
AbstractFor optimal radio resource utilization in heterogeneous wireless networks, Joint Radio Resource Management (JRRM) is required. In distributed JRRM, each radio each access network (RAN) adjusts network parameters to affect user's RAN selection, thereby indirectly implementing joint radio resource allocation. The mathematical method for instructing such adjustment is lacking. In this article, the relationship between different RANs is mapped into the competition between species in the well-known L-V model developed by ecologists. Based on this model, an adjustment algorithm of distributed joint radio resource allocation is proposed. The simulation results show that compared with no adjustment or over adjustment, our adjustment algorithm can: 1) obtain proper resource allocation; 2) guarantee network coexistence. ©2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/45941
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorGuang, Yen_HK
dc.contributor.authorJie, Cen_HK
dc.contributor.authorKai, Yen_HK
dc.contributor.authorPing, Zen_HK
dc.contributor.authorLi, VOKen_HK
dc.date.accessioned2007-10-30T06:39:04Z-
dc.date.available2007-10-30T06:39:04Z-
dc.date.issued2006en_HK
dc.identifier.citationIeee Wireless Communications And Networking Conference, Wcnc, 2006, v. 1, p. 52-57en_HK
dc.identifier.issn1525-3511en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45941-
dc.description.abstractFor optimal radio resource utilization in heterogeneous wireless networks, Joint Radio Resource Management (JRRM) is required. In distributed JRRM, each radio each access network (RAN) adjusts network parameters to affect user's RAN selection, thereby indirectly implementing joint radio resource allocation. The mathematical method for instructing such adjustment is lacking. In this article, the relationship between different RANs is mapped into the competition between species in the well-known L-V model developed by ecologists. Based on this model, an adjustment algorithm of distributed joint radio resource allocation is proposed. The simulation results show that compared with no adjustment or over adjustment, our adjustment algorithm can: 1) obtain proper resource allocation; 2) guarantee network coexistence. ©2006 IEEE.en_HK
dc.format.extent270295 bytes-
dc.format.extent4152649 bytes-
dc.format.extent23319 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE, Communications Society.en_HK
dc.relation.ispartofIEEE Wireless Communications and Networking Conference, WCNCen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectHeterogeneous wireless networken_HK
dc.subjectJoint radio resource managementen_HK
dc.subjectL-V modelen_HK
dc.subjectSpeciesen_HK
dc.titleJoint radio resource management based on the species competition modelen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1525-3511&volume=1&spage=52&epage=57&date=2006&atitle=Joint+radio+resource+management+based+on+the+species+competition+modelen_HK
dc.identifier.emailLi, VOK:vli@eee.hku.hken_HK
dc.identifier.authorityLi, VOK=rp00150en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.scopuseid_2-s2.0-34250348841en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34250348841&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume1en_HK
dc.identifier.spage52en_HK
dc.identifier.epage57en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridGuang, Y=35937358000en_HK
dc.identifier.scopusauthoridJie, C=7006488219en_HK
dc.identifier.scopusauthoridKai, Y=36087627100en_HK
dc.identifier.scopusauthoridPing, Z=7005445435en_HK
dc.identifier.scopusauthoridLi, VOK=7202621685en_HK

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