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On imperfect pricing in globally constrained noncooperative games for cognitive radio networks
Wang J.2; Huang Y.2; Zhou J.3; Sun L.1
2015-07-10
Source PublicationSignal Processing
ISSN01651684
Volume117Pages:96-101
Abstract

Abstract Pricing is often used in noncooperative games or Nash equilibrium problems (NEPs) to meet global constraints in cognitive radio networks. In this paper, we analyze the pricing mechanism for a class of solvable NEPs with global constraints, called monotone NEPs. In contrast to the ideal assumption of perfect measure of pricing functions, in practice pricing functions are often imperfectly known and subject to uncertainty. We theoretically analyze the impacts of bounded uncertainty and price-updating step sizes of imperfect pricing in globally constrained NEPs for cognitive radio networks.

KeywordCognitive Radio Networks Imperfect Pricing Nash Equilibrium Problem Noncooperative Game
DOI10.1016/j.sigpro.2015.04.010
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000359168700009
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.The University of British Columbia
2.Southeast University
3.Universidade de Macau
Recommended Citation
GB/T 7714
Wang J.,Huang Y.,Zhou J.,et al. On imperfect pricing in globally constrained noncooperative games for cognitive radio networks[J]. Signal Processing,2015,117:96-101.
APA Wang J.,Huang Y.,Zhou J.,&Sun L..(2015).On imperfect pricing in globally constrained noncooperative games for cognitive radio networks.Signal Processing,117,96-101.
MLA Wang J.,et al."On imperfect pricing in globally constrained noncooperative games for cognitive radio networks".Signal Processing 117(2015):96-101.
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