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Conference Paper: Wireless LAN spectrum allocation modeling in auction-based game approach

TitleWireless LAN spectrum allocation modeling in auction-based game approach
Authors
KeywordsAllocation Modeling
Auction
Efficiency
Game Formulation
Wireless Lan
Issue Date2011
Citation
2011 Wireless Advanced, Wiad 2011, 2011, p. 30-35 How to Cite?
AbstractWireless LAN development in recent years has called for more efficient spectrum allocation methods. Two novel Wireless LAN spectrum allocation models, namely the Combination of Single-slot Second-Price Sealed Auction (CSSA) and the Multi-slot Vickrey Auction versus Homogeneous Objects (MVAH), are established. Both models utilize auction principles. Wireless spectrum is time-slotted and spectrum users, i.e. bidders, compete to obtain the time slots. Each bidder is assigned a virtual credit budget at the beginning of the auction. Bidders compete for each slot in every bidding trial or all slots in one bidding trial, according to the bidding rule of adopted allocation model. And all auction participants behave non-cooperatively. The revenues of all auction participants as well as revenue of the whole allocation system are formulated in game approach. The bidding strategy formula for single bidder is thereafter derived by differentiating the revenue formula under budget limit. Each bidder adjusts its bids equal to the best response bids which are computed from the bidding strategy formula. By calculating all participants' revenue throughout the whole auction, the allocation pattern is therefore formed and system efficiency values for both allocation models are computed and compared. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158721
References

 

DC FieldValueLanguage
dc.contributor.authorXiahou, Hen_US
dc.contributor.authorLam, WHen_US
dc.date.accessioned2012-08-08T09:01:02Z-
dc.date.available2012-08-08T09:01:02Z-
dc.date.issued2011en_US
dc.identifier.citation2011 Wireless Advanced, Wiad 2011, 2011, p. 30-35en_US
dc.identifier.urihttp://hdl.handle.net/10722/158721-
dc.description.abstractWireless LAN development in recent years has called for more efficient spectrum allocation methods. Two novel Wireless LAN spectrum allocation models, namely the Combination of Single-slot Second-Price Sealed Auction (CSSA) and the Multi-slot Vickrey Auction versus Homogeneous Objects (MVAH), are established. Both models utilize auction principles. Wireless spectrum is time-slotted and spectrum users, i.e. bidders, compete to obtain the time slots. Each bidder is assigned a virtual credit budget at the beginning of the auction. Bidders compete for each slot in every bidding trial or all slots in one bidding trial, according to the bidding rule of adopted allocation model. And all auction participants behave non-cooperatively. The revenues of all auction participants as well as revenue of the whole allocation system are formulated in game approach. The bidding strategy formula for single bidder is thereafter derived by differentiating the revenue formula under budget limit. Each bidder adjusts its bids equal to the best response bids which are computed from the bidding strategy formula. By calculating all participants' revenue throughout the whole auction, the allocation pattern is therefore formed and system efficiency values for both allocation models are computed and compared. © 2011 IEEE.en_US
dc.languageengen_US
dc.relation.ispartof2011 Wireless Advanced, WiAd 2011en_US
dc.subjectAllocation Modelingen_US
dc.subjectAuctionen_US
dc.subjectEfficiencyen_US
dc.subjectGame Formulationen_US
dc.subjectWireless Lanen_US
dc.titleWireless LAN spectrum allocation modeling in auction-based game approachen_US
dc.typeConference_Paperen_US
dc.identifier.emailLam, WH:whlam@eee.hku.hken_US
dc.identifier.authorityLam, WH=rp00136en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/WiAd.2011.5983281en_US
dc.identifier.scopuseid_2-s2.0-80052497506en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80052497506&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage30en_US
dc.identifier.epage35en_US
dc.identifier.scopusauthoridXiahou, H=49864852200en_US
dc.identifier.scopusauthoridLam, WH=7203021916en_US

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