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dc.contributor.authorOlama, M. M.en
dc.contributor.authorDjouadi, S. M.en
dc.contributor.authorCharalambous, Charalambos D.en
dc.contributor.authorSahyoun, S.en
dc.creatorOlama, M. M.en
dc.creatorDjouadi, S. M.en
dc.creatorCharalambous, Charalambos D.en
dc.creatorSahyoun, S.en
dc.date.accessioned2019-04-08T07:47:31Z
dc.date.available2019-04-08T07:47:31Z
dc.date.issued2007
dc.identifier.isbn1-4244-0988-8
dc.identifier.isbn978-1-4244-0988-4
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/44421
dc.description.abstractIn this paper, new time-varying wireless channel models that capture both the space and time variations of longterm and short-term fading wireless networks are developed. The proposed models are based on stochastic differential equations. These models are more realistic than the static ones usually encountered in the literature. Moreover, optimal power control algorithms based on the new models are proposed. A centralized power control algorithm is shown to reduce to a simple linear programming problem if predictable power control strategies are used. In addition, an iterative distributed stochastic power control algorithm is used to solve for the optimization problem using stochastic approximations. The latter solely requires each mobile to know its received signal to interference ratio unlike common stochastic algorithms found in the literature. Numerical results show that the proposed distributed stochastic power control algorithm under the new time-varying channels provides better power stability and consumption than the deterministic ones. © 2007 IEEE.en
dc.sourceProceedings of the American Control Conferenceen
dc.sourceProceedings of the American Control Conferenceen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-46449089164&doi=10.1109%2fACC.2007.4282966&partnerID=40&md5=c4e700e88b7a99d5626c7b98a11db0af
dc.subjectStochastic programmingen
dc.subjectLinear programmingen
dc.subjectAlgorithmsen
dc.subjectIterative methodsen
dc.subjectDifference equationsen
dc.subjectDifferential equationsen
dc.subjectStochastic control systemsen
dc.subjectDifferentiation (calculus)en
dc.subjectStochastic modelsen
dc.subjectPower controlen
dc.subjectStochastic power controlen
dc.subjectTime-varyingen
dc.subjectCellular radio systemsen
dc.subjectTelecommunication systemsen
dc.subjectApproximation algorithmsen
dc.subjectKetonesen
dc.subjectBoolean functionsen
dc.subjectBeamformingen
dc.subjectTime varying systemsen
dc.subjectTime varying networksen
dc.subjectBessel functionsen
dc.subjectCentralized power controlen
dc.subjectLinear programming problemsen
dc.subjectLinearizationen
dc.subjectNumerica l resultsen
dc.subjectOptimal power control algorithmsen
dc.subjectOptimiz ation problemsen
dc.subjectPower control strategiesen
dc.subjectPower stabilityen
dc.subjectShort term fadingen
dc.subjectSignal-to-interference (sir) ratiosen
dc.subjectSpace and timeen
dc.subjectStochastic algorithmsen
dc.subjectStochastic approximation (sa)en
dc.subjectStochastic differential equations (sde s)en
dc.subjectTime-varying (tv) channelsen
dc.subjectTime-varying wireless channelsen
dc.titleDistributed stochastic power control for time-varying long-term and short-term fading wireless networksen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/ACC.2007.4282966
dc.description.startingpage3088
dc.description.endingpage3093
dc.author.facultyΠολυτεχνική Σχολή / Faculty of Engineering
dc.author.departmentΤμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering
dc.type.uhtypeConference Objecten
dc.contributor.orcidCharalambous, Charalambos D. [0000-0002-2168-0231]


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