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Conference Paper: Joint radio resource management based on the species competition model
Title | Joint radio resource management based on the species competition model |
---|---|
Authors | |
Keywords | Heterogeneous wireless network Joint radio resource management L-V model Species |
Issue Date | 2006 |
Publisher | IEEE, Communications Society. |
Citation | 2006 IEEE Wireless Communications and Networking Conference, (WCNC 2006), Las Vegas, NV, 3-6 April 2006. In IEEE Wireless Communications and Networking Conference, WCNC, 2006, v. 1, p. 52-57 How to Cite? |
Abstract | For 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 Identifier | http://hdl.handle.net/10722/45941 |
ISSN | 2020 SCImago Journal Rankings: 0.361 |
References |
DC Field | Value | Language |
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dc.contributor.author | Guang, Y | en_HK |
dc.contributor.author | Jie, C | en_HK |
dc.contributor.author | Kai, Y | en_HK |
dc.contributor.author | Ping, Z | en_HK |
dc.contributor.author | Li, VOK | en_HK |
dc.date.accessioned | 2007-10-30T06:39:04Z | - |
dc.date.available | 2007-10-30T06:39:04Z | - |
dc.date.issued | 2006 | en_HK |
dc.identifier.citation | 2006 IEEE Wireless Communications and Networking Conference, (WCNC 2006), Las Vegas, NV, 3-6 April 2006. In IEEE Wireless Communications and Networking Conference, WCNC, 2006, v. 1, p. 52-57 | en_HK |
dc.identifier.issn | 1525-3511 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/45941 | - |
dc.description.abstract | For 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.extent | 270295 bytes | - |
dc.format.extent | 4152649 bytes | - |
dc.format.extent | 23319 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | text/plain | - |
dc.language | eng | en_HK |
dc.publisher | IEEE, Communications Society. | en_HK |
dc.relation.ispartof | IEEE Wireless Communications and Networking Conference, WCNC | en_HK |
dc.rights | ©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
dc.subject | Heterogeneous wireless network | en_HK |
dc.subject | Joint radio resource management | en_HK |
dc.subject | L-V model | en_HK |
dc.subject | Species | en_HK |
dc.title | Joint radio resource management based on the species competition model | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Li, VOK:vli@eee.hku.hk | en_HK |
dc.identifier.authority | Li, VOK=rp00150 | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1109/WCNC.2006.1683440 | - |
dc.identifier.scopus | eid_2-s2.0-34250348841 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-34250348841&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 1 | en_HK |
dc.identifier.spage | 52 | en_HK |
dc.identifier.epage | 57 | en_HK |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Guang, Y=35937358000 | en_HK |
dc.identifier.scopusauthorid | Jie, C=7006488219 | en_HK |
dc.identifier.scopusauthorid | Kai, Y=36087627100 | en_HK |
dc.identifier.scopusauthorid | Ping, Z=7005445435 | en_HK |
dc.identifier.scopusauthorid | Li, VOK=7202621685 | en_HK |
dc.identifier.issnl | 1525-3511 | - |