File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Phantom cell analysis of dynamic channel assignment in cellular mobile systems

TitlePhantom cell analysis of dynamic channel assignment in cellular mobile systems
Authors
Yeung, Kwan LYum, TakShing P
Issue Date1994
Citation
Ieee Vehicular Technology Conference, 1994, v. 2, p. 814-818 How to Cite?
AbstractIn this paper, we propose the Phantom Cell Analysis for dynamic channel assignment. This is an approximate analysis that can handle realistic planar systems with three-cell channel reuse pattern. To find the blocking probability of a particular cell, two phantom cells are used to represent its six neighboring cells. Then by conditioning on the relative positions of the two phantom cells, the blocking probability of that particular cell can be found. We found that the phantom cell analysis is not only very accurate in predicting the blocking performance but also very computationally efficient. Besides, it is applicable to any traffic patterns and any cellular layouts.
Persistent Identifierhttp://hdl.handle.net/10722/158141
ISSN
0740-0551
2020 SCImago Journal Rankings: 0.277

 

DC FieldValueLanguage
dc.contributor.authorYeung, Kwan Len_US
dc.contributor.authorYum, TakShing Pen_US
dc.date.accessioned2012-08-08T08:58:14Z-
dc.date.available2012-08-08T08:58:14Z-
dc.date.issued1994en_US
dc.identifier.citationIeee Vehicular Technology Conference, 1994, v. 2, p. 814-818en_US
dc.identifier.issn0740-0551en_US
dc.identifier.urihttp://hdl.handle.net/10722/158141-
dc.description.abstractIn this paper, we propose the Phantom Cell Analysis for dynamic channel assignment. This is an approximate analysis that can handle realistic planar systems with three-cell channel reuse pattern. To find the blocking probability of a particular cell, two phantom cells are used to represent its six neighboring cells. Then by conditioning on the relative positions of the two phantom cells, the blocking probability of that particular cell can be found. We found that the phantom cell analysis is not only very accurate in predicting the blocking performance but also very computationally efficient. Besides, it is applicable to any traffic patterns and any cellular layouts.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Vehicular Technology Conferenceen_US
dc.titlePhantom cell analysis of dynamic channel assignment in cellular mobile systemsen_US
dc.typeConference_Paperen_US
dc.identifier.emailYeung, Kwan L:kyeung@eee.hku.hken_US
dc.identifier.authorityYeung, Kwan L=rp00204en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0028576093en_US
dc.identifier.volume2en_US
dc.identifier.spage814en_US
dc.identifier.epage818en_US
dc.identifier.scopusauthoridYeung, Kwan L=7202424908en_US
dc.identifier.scopusauthoridYum, TakShing P=7006506507en_US
dc.identifier.issnl0740-0551-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats