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Conference Paper: Quasi-static cluster-computing approach for dynamic channel assignment in cellular mobile communication systems

TitleQuasi-static cluster-computing approach for dynamic channel assignment in cellular mobile communication systems
Authors
Issue Date1999
Citation
Ieee Vehicular Technology Conference, 1999, v. 4, p. 2343-2347 How to Cite?
AbstractEfficient management of the radio spectrum can be accomplished by making use of channel assignment techniques, which work by allocating different channels of the spectrum to the cells of the network in a conflict-free manner (i.e., the co-channel interference is minimized). The problem of dynamically reallocating the channels in response to change in user location patterns, which occurs frequently for a micro-cell network architecture, is even more difficult to tackle in a timely manner. Most existing approaches use various sequential search based heuristics which cannot produce high quality allocation fast enough to cope with the frequent traffic requirement variations. In this paper, we propose a quasi-static approach which combines the merits of both static and dynamic schemes. The static component of our approach uses a parallel genetic algorithm to generate a suite of representative assignments based on a set of different estimated traffic scenarios. At on-line time, the dynamic component observes the actual traffic requirement and retrieve the representative assignment of the closest scenario from the off-line table. The retrieved assignment is then quickly refined by using a fast parallel local search algorithm. Our extensive simulation experiments have indicated that the proposed quasi-static system outperforms other dynamic channel assignment techniques significantly in terms of both blocking probabilities and computational overhead.
Persistent Identifierhttp://hdl.handle.net/10722/158272
ISSN

 

DC FieldValueLanguage
dc.contributor.authorKwok, YuKwongen_US
dc.date.accessioned2012-08-08T08:58:50Z-
dc.date.available2012-08-08T08:58:50Z-
dc.date.issued1999en_US
dc.identifier.citationIeee Vehicular Technology Conference, 1999, v. 4, p. 2343-2347en_US
dc.identifier.issn0740-0551en_US
dc.identifier.urihttp://hdl.handle.net/10722/158272-
dc.description.abstractEfficient management of the radio spectrum can be accomplished by making use of channel assignment techniques, which work by allocating different channels of the spectrum to the cells of the network in a conflict-free manner (i.e., the co-channel interference is minimized). The problem of dynamically reallocating the channels in response to change in user location patterns, which occurs frequently for a micro-cell network architecture, is even more difficult to tackle in a timely manner. Most existing approaches use various sequential search based heuristics which cannot produce high quality allocation fast enough to cope with the frequent traffic requirement variations. In this paper, we propose a quasi-static approach which combines the merits of both static and dynamic schemes. The static component of our approach uses a parallel genetic algorithm to generate a suite of representative assignments based on a set of different estimated traffic scenarios. At on-line time, the dynamic component observes the actual traffic requirement and retrieve the representative assignment of the closest scenario from the off-line table. The retrieved assignment is then quickly refined by using a fast parallel local search algorithm. Our extensive simulation experiments have indicated that the proposed quasi-static system outperforms other dynamic channel assignment techniques significantly in terms of both blocking probabilities and computational overhead.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Vehicular Technology Conferenceen_US
dc.titleQuasi-static cluster-computing approach for dynamic channel assignment in cellular mobile communication systemsen_US
dc.typeConference_Paperen_US
dc.identifier.emailKwok, YuKwong:ykwok@eee.hku.hken_US
dc.identifier.authorityKwok, YuKwong=rp00128en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0033331684en_US
dc.identifier.volume4en_US
dc.identifier.spage2343en_US
dc.identifier.epage2347en_US
dc.identifier.scopusauthoridKwok, YuKwong=7101857718en_US

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