Dynamic Spectrum Access for Wireless Networks

83 Pages·2015·2.365 MB·English

by  Danda B. Rawat, Min Song, Sachin Shetty (auth.)

SPRINGER BRIEFS IN
ELECTRICAL AND COMPUTER ENGINEERING
Danda B. Rawat
Min Song
Sachin Shetty
Dynamic
Spectrum Access
for Wireless
Networks
123
SpringerBriefs in Electrical and Computer
Engineering
Moreinformationaboutthisseriesathttp://www.springer.com/series/10059

Danda B. Rawat • Min Song (cid:129) Sachin Shetty
Dynamic Spectrum Access
for Wireless Networks
123
DandaB.Rawat MinSong
DepartmentofElectricalEngineering DepartmentofComputerScience
GeorgiaSouthernUniversity MichiganTechnologicalUniversity
Statesboro,GA,USA Houghton,MI,USA
SachinShetty
DepartmentofElectrical
andComputerEngineering
TennesseeStateUniversity
Nashville,TN,USA
ISSN2191-8112 ISSN2191-8120 (electronic)
SpringerBriefsinElectricalandComputerEngineering
ISBN978-3-319-15298-1 ISBN978-3-319-15299-8 (eBook)
DOI10.1007/978-3-319-15299-8
LibraryofCongressControlNumber:2015931510
SpringerChamHeidelbergNewYorkDordrechtLondon
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ToOurFamilies

Preface
Wirelesscommunicationisthefastestgrowingsectorofthecommunicationindustry
because of the invention of smartphones and successful deployment of Wi-Fi and
cellularnetworks.Usershaveanywhere,anytimeconnectivitytotheInternetusing
their devices. In the Internet of Things (IoT) era, with the increasing number
of subscriptions, wireless traffic is increasing exponentially. Spectrum scarcity
problem created by static radio frequency (RF) allocation policy will worsen
when billions of devices are connected to the Internet. Thus, dynamic spectrum
accessusingsoftware-definedradios(akacognitiveradionetworks)couldsolvethe
artificialspectrumscarcityproblembyallowingunlicenseduserstoaccesslicensed
bands opportunistically. To fully realize dynamic spectrum access in cognitive
radio networks, there are policy level as well as technical challenges. Yet, it is
very challenging to adaptively allocate resources for dynamic spectrum access in
cognitive radio networks for unlicensed secondary users while protecting primary
usersfromanyharmfulinterference.
Fordynamicspectrumaccess,secondaryusersmustidentifyspectrumopportuni-
ties(bysensingchannelsorsearchingtheminadatabase)tousethemdynamically.
Oncespectrumopportunitiesareidentified,secondaryusersswitchtotransmission
mode to communicate with their receivers. This book presents a brief survey of
spectrum sensing techniques that are used to find idle RF bands and different
approaches for adaptive resource allocation in spectrum underlay and spectrum
overlay cognitive radio networks for infrastructure-based and (infrastructure-less)
peer-to-peer-basedcommunications.Thisbookisorganizedasfollows:
(cid:129) Chapter1presentsanoverviewofcognitiveradionetworks,cognitivecycle,and
spectrumsensingtechniques.
(cid:129) Chapter 2 presents resource allocation for spectrum underlay cognitive radio
networks.
(cid:129) Chapter 3 presents cloud-integrated resource allocation for spectrum overlay
cognitiveradionetworks.
vii
viii Preface
(cid:129) Chapter4presentsdistributedcomputingforcloud-integratedresourceallocation
fordynamicspectrumaccessincognitiveradionetworksforinfrastructure-based
andinfrastructure-lesscommunications.
(cid:129) Chapter 5 presents dynamic spectrum access for vehicular network users with
cognitiveradios.
Statesboro,GA,USA DandaB.Rawat
Houghton,MI,USA MinSong
Nashville,TN,USA SachinShetty
Acknowledgments
We would like to express our warm appreciation to Georgia Southern University,
MichiganTechnologicalUniversity,andTennesseeStateUniversity.Wewouldlike
to thank Professor Xuemin “Sherman” Shen and the Springer staff who helped us
to publish our work. Special thanks go to U.S. National Science Foundation and
Department of Homeland Security. Last but certainly not least, we want to thank
ourfamilies,whoneverstoppedsupportingandencouragingus.
Statesboro,GA,USA DandaB.Rawat
Houghton,MI,USA MinSong
Nashville,TN,USA SachinShetty
ix