Spectrum Trading in Multi-Hop Cognitive Radio Networks PDF
Preview Spectrum Trading in Multi-Hop Cognitive Radio Networks
SPRINGER BRIEFS IN COMPUTER SCIENCE Miao Pan Ming Li Pan Li Yuguang Fang Spectrum Trading in Multi-Hop Cognitive Radio Networks 123 SpringerBriefs in Electrical and Computer Engineering Moreinformationaboutthisseriesathttp://www.springer.com/series/10059 Miao Pan • Ming Li (cid:129) Pan Li (cid:129) Yuguang Fang Spectrum Trading in Multi-Hop Cognitive Radio Networks 123 MiaoPan MingLi UniversityofHouston UniversityofNevada Houston,TX,USA Reno,NV,USA PanLi YuguangFang CaseWesternReserveUniversity UniversityofFlorida Cleveland,OH,USA Gainesville,FL,USA ISSN2191-8112 ISSN2191-8120 (electronic) SpringerBriefsinElectricalandComputerEngineering ISBN978-3-319-25629-0 ISBN 978-3-319-25631-3 (eBook) DOI10.1007/978-3-319-25631-3 LibraryofCongressControlNumber:2015954942 SpringerChamHeidelbergNewYorkDordrechtLondon ©TheAuthor(s)2015 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbook arebelievedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsor theeditorsgiveawarranty,expressorimplied,withrespecttothematerialcontainedhereinorforany errorsoromissionsthatmayhavebeenmade. Printedonacid-freepaper SpringerInternationalPublishingAGSwitzerlandispartofSpringerScience+BusinessMedia(www. springer.com) Toourfamilies Preface Cognitive radio (CR) is a revolutionary wireless communication paradigm which releases the spectrum from shackles of authorized licenses and enables secondary users (SUs) to opportunistically access the underutilized licensed spectrum. Due to the great economic value of the spectrum, CR technology has also initiated the spectrum market and promoted a lot of interesting research on spectrum trading designs in cognitive radio networks (CRNs). However, existing spectrum trading approaches mainly focus on per-user-based spectrum trading for single-hop com- municationsandlackdeepunderstandingofmulti-hopend-to-endserviceprovision. Correspondingly,thereisnosuchtextexclusivelyonthespectrumtradinginmulti- hop CRNs today, leaving aspiring researchers and students in this field struggling with limited and scattered literature and sometimes confusing terminology. The goalofthisbookistooffersomehelpthroughaccessiblepresentationofthebasic ideasofspectrumtradingaswellassomerelatedcutting-edgeresearchofspectrum trading in multi-hop CRNs. The target audiences are researchers interested in CR technologyandspectrumtradingresearch,inparticulargraduatestudents.Itisalso ourhopethatthisbookcanbeusefultoexpertsasquickreference. This book starts with an introduction on spectrum trading, state-of-the-art research,andresearchchallengesforspectrumtradinginmulti-hopCRNs.Then,a novelCRNnetworkarchitecturetailoredforspectrumtradinginmulti-hopCRNsis introduced.UnderthisCRNarchitecture,thetransmissionopportunity(i.e.,alink- bandpair)-basedspectrumtradingispresented,whichisbeyondtheper-user-based spectrum trading in existing literature, and the proof of its economic robustness is provided.Further,thisdesignisextendedintosession-basedspectrumtradingunder uncertainspectrumsupply,andfinallyaneconomicrobustsession-basedspectrum tradingdesignisdevelopedandillustrated. Someofthecalculationsandproofsinvolvedaremathematicalandcanbesafely skipped in first reading. Nevertheless, we decided to include them because they either illustrate useful analytical skills or provide details that are missing in the original papers. Due to the limited time, space, and of course our knowledge and ability,thecontentofthisbookisfarfromextensive.Itonlyincludescloselyrelated literaturesthatwearemostlyfamiliarwith. vii viii Preface We would like to express our greatest appreciation to Dr. Xuemin (Sherman) Shen for providing us the opportunity of writing this short book for Springer. We are also grateful to all our collaborators and colleagues. Finally, we would like to thank Springer, especially Ms. Susan Lagerstrom-Fife, Ms. Jennifer Malat, Ms. Irene Bruce, and Ms. Courtney Clark, for their support in various aspects in the writingandpublishingofthisbook.Thebookwouldnotcomeintobeingwithout allthoseeffortsandsupports. Houston,TX,USA MiaoPan Reno,NV,USA MingLi Cleveland,OH,USA PanLi Gainesville,FL,USA YuguangFang September2015 Contents 1 TheNetworkArchitectureforSpectrumTrading ........................ 1 1.1 IntroductiontoSpectrumTrading....................................... 1 1.1.1 From Static Spectrum Auction to Dynamic SpectrumTrading................................................ 1 1.1.2 State-of-ArtSpectrumTradingResearch....................... 2 1.2 ResearchChallengesforSpectrumTrading ............................ 3 1.3 ANovelNetworkArchitectureforSpectrumTrading inMulti-HopCRNs...................................................... 4 References...................................................................... 6 2 Economic-Robust Transmission Opportunity Based SpectrumTrading ............................................................ 11 2.1 ProblemFormulation .................................................... 11 2.1.1 NetworkModel .................................................. 11 2.1.2 ObjectiveofTOSTDesign...................................... 13 2.1.3 TransmissionOpportunity’sCapacity .......................... 13 2.2 TransmissionOpportunityBasedSpectrumTrading................... 14 2.2.1 TransmissionOpportunityAllocation .......................... 14 2.2.2 TransmissionOpportunityScheduling.......................... 17 2.2.3 Pricing............................................................ 18 2.3 ProofofEconomicProperties........................................... 19 2.4 PerformanceEvaluation ................................................. 23 2.4.1 SimulationSetup................................................. 23 2.4.2 ResultsandAnalysis............................................. 23 References...................................................................... 25 3 A Session Based Spectrum Trading System Under UncertainSpectrumSupply ................................................. 27 3.1 NetworkModel........................................................... 27 3.1.1 NetworkConfiguration.......................................... 27 3.1.2 OtherRelatedModelsinMulti-HopCRNs..................... 28 ix
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