基于扩展对偶理论的无线网络资源分配问题-研究

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1、WLANandWBANnetworks，whichisoneofthemostoptimalnetworkingpatternsinfutureWMANcorenetwork．Itwillprobablychallenge3GtechnologiesanditisoneofthemostpotentialtechnologiesinbuildingB3Gand4G．AmongresearchesonresourceallocationforWirelessMeshNetwork，timeisalwaysneglected．Thispaperrepresents

2、aresourceoptimizationmethodinatypicalMeshNetworkwithconsideringthetimeallocation．Themaincontentsandinnovativepointsinthispaperincludethefollowingaspects：1、RespectingtothenonlinearprogrammingfNLP)problems，weintroduceimprovedaugmentedLagrangianrun．ion．Basedonit，weexplainextendeddualit

3、ytheoryandrelatedalgorithmsindetail，thendesignandrealizeanextendeddualityalgorithmwhichcallbeusedtosolveNLPproblems．Combining、析tllannealingalgorithm，weimprovethealgorithmandpresentanextendeddualityalgorithmwhichcouldsolveMINLPproblems．Wedosimulationswithseveralexamples，verifytheconv

4、ergenceandadvantageofthedesignedalgorithm．Finally,the2、Inthispaper,wealsoconstructpowerallocationmodelforthecellularOFDMAsystem，whichoptimizationgoalistomaximizenetworkutilityundersatisfyingthebasestationpowerlimitingconditionandsubcarriersconstraints．Thismodelincludestwotypesofreso

5、urces(powerandsubcarriers)allocation，whichisaMINLPproblem．Aftermodeltransformation，wecangetanequivalentcontinuousNLPproblemmodel．UsingtheextendeddualLagrangianfunction，wegettheextendeddualproblemofthemodel．Consideringthepowerconstraintandsubcarriersallocationconstraints，weanalysispe

6、naltyfactorsupdatemechanismbasedontheextendeddualtheory．Finally,MATLABsimulationisusedtochecktheconvergenceofthealgorithm．ComparedtotheNLPproblemmodelresultsolvedbygeneticalgorithm(GA)，thesimulationalsoverifiesthatourmethodismuchmoree街cient．3、Thispaperconstructsasystemmodelforthetyp

7、icalMeshnetworkconsideringthetimeallocation,anddesignsanetworkresourceallocationschemebasedontheextendeddualtheory．Thinkingofthetimeslotsresource，thepaperestablishestheextendeddualmodel，andthenusespowerconstraintoptimizationandrateconstraintoptimizationmethodstoachieveajointoptimiza

8、tionofpower，ffenque