Virtualized wireless networks : user association and resource allocation

110 Pages·2018·2.05 MB·English

by  Dawadi

SPRINGER BRIEFS IN
ELECTRICAL AND COMPUTER ENGINEERING
Tho Le-Ngoc
Rajesh Dawadi
Saeedeh Parsaeefard
Mahsa Derakhshani
Virtualized
Wireless
Networks
User Association
and Resource
Allocation
123
SpringerBriefs in Electrical and Computer
Engineering
Serieseditors
Woon-SengGan,Singapore,Singapore
C.-C.JayKuo,LosAngeles,USA
ThomasFangZheng,Beijing,China
MauroBarni,Siena,Italy
Moreinformationaboutthisseriesathttp://www.springer.com/series/10059
Tho Le-Ngoc • Rajesh Dawadi
Saeedeh Parsaeefard (cid:129) Mahsa Derakhshani
Virtualized Wireless
Networks
User Association and Resource Allocation
123
ThoLe-Ngoc RajeshDawadi
DepartmentofElectricaland DepartmentofElectricalandComputer
ComputerEngineering Engineering
McGillUniversity McGillUniversity
Montreal,QC,Canada Montreal,QC,Canada
SaeedehParsaeefard MahsaDerakhshani
IranTelecommunicationResearchCenter WolfsonSchoolofMechanical,Electrical
Tehran,Iran andManufacturingEngineering
Loughborough,Leicestershire,UK
ISSN2191-8112 ISSN2191-8120 (electronic)
SpringerBriefsinElectricalandComputerEngineering
ISBN978-3-319-57387-8 ISBN978-3-319-57388-5 (eBook)
DOI10.1007/978-3-319-57388-5
LibraryofCongressControlNumber:2017941555
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Preface
Over the last decade, the unprecedented growth in the number of high data-rate
applicationsanddeviceshasseverelyconstrainedthecurrentwirelessnetworks.The
operatorsofwirelessnetworksfaceachallengeinsupportingsuchdemand,whereas
at the same time they need to increase the energy efficiency and infrastructure
utilization, which are directly related to their revenue. There have been recent
advancements in wireless network technologies such as wireless virtualization to
accommodatetheexponentialgrowthindemandaswellastoincreaseenergyand
infrastructure efficiencies. The idea of virtualized wireless network (VWN) has
beenrecentlyenvisagedtoallowmultipleserviceproviderstoefficientlysharethe
physicalwirelesscommunicationsinfrastructurebelongingtothenetworkoperator.
InaVWN,eachserviceproviderexpectstohaveitsallocatedsliceofresourcesof
thevariousinfrastructurecomponents(e.g.,basestations)inordertosupportitsown
end users with different Quality-of-Service (QoS) requirements. VWN, therefore,
presentsuniquechallengesspecificallyrelatedtouserassociation,dynamicresource
allocation, slice isolation, and resource utility that must be addressed to make it
practicallyeffective.
ThisbriefdiscussestheuserassociationandresourceallocationaspectsinVWNs
and highlights key technology innovations to meet their requirements. Various
issues in practical implementation of VWNs are discussed along with potential
techniques such as Massive MIMO, Cloud-Radio Access Network (C-RAN), and
non-orthogonalmultipleaccess(NOMA).
ThetargetaudienceofthisinformativeandpracticalSpringerBriefisresearchers
and professionals working on current and next-generation wireless networks. The
contentisalsovaluableforadvancedstudentsinterestedinwirelesscommunications
andsignalprocessingforcommunications.
Montreal,QC,Canada ThoLe-Ngoc
Montreal,QC,Canada RajeshDawadi
Tehran,Iran SaeedehParsaeefard
Loughborough,Leicestershire,UK MahsaDerakhshani
February2017
v
Contents
1 Introduction .................................................................. 1
1.1 Motivations ............................................................. 1
1.1.1 WirelessNetworks:TrendsandChallenges.................. 1
1.1.2 VWN:Requirements.......................................... 3
1.1.3 VWN:User-AssociationandResource-AllocationIssues... 4
1.2 EmergingTechnologies:ABriefOverview........................... 5
1.2.1 User-AssociationandResource-Allocation.................. 5
1.2.2 Cloud-RadioAccessNetwork(C-RAN) ..................... 6
1.2.3 MassiveMIMO................................................ 7
1.2.4 Non-orthogonalMultipleAccess(NOMA).................. 8
1.3 StructureofThisBrief ................................................. 9
References..................................................................... 10
2 Bandwidth-Efficient Joint User-Association
andResource-AllocationinMulti-CellVWN ............................ 13
2.1 Introduction............................................................. 13
2.2 SystemModelandProblemFormulation ............................. 15
2.3 ProposedTwo-LevelIterativeAlgorithm.............................. 17
2.3.1 User-AssociationProblem .................................... 18
2.3.2 Power-AllocationProblem.................................... 22
2.4 NumericalResultsandDiscussions ................................... 24
2.4.1 SystemParameters ............................................ 24
2.4.2 ReferenceResourceAllocation............................... 24
2.4.3 TotalRateandRate-OutageEvaluation ...................... 25
2.4.4 CoverageAnalysis............................................. 27
2.4.5 OptimalityGapStudy......................................... 32
2.4.6 ComputationalComplexityandConvergenceAnalysis ..... 32
2.5 ConcludingRemarks................................................... 33
References..................................................................... 35
vii
viii Contents
3 Power-EfficientJointUser-AssociationandResource-Allocation
inMulti-CellVWN .......................................................... 37
3.1 Introduction............................................................. 37
3.2 SystemModelandProblemFormulation ............................. 38
3.3 ProposedAlgorithm.................................................... 40
3.3.1 User-AssociationProblem .................................... 40
3.3.2 PowerMinimizationProblem................................. 43
3.4 NumericalResultsandDiscussions ................................... 44
3.5 ConcludingRemarks................................................... 46
References..................................................................... 47
4 Uplink Resource-Allocation in VWN with Massive-MIMO
andDynamicPilot-Duration ............................................... 49
4.1 Introduction............................................................. 49
4.2 SystemModelandProblemFormulation ............................. 50
4.3 IterativeAlgorithmforJointResourceandAdaptivePilot
DurationAllocation .................................................... 55
4.4 NumericalResultsandDiscussions ................................... 58
4.5 ConcludingRemarks................................................... 61
References..................................................................... 61
5 User-AssociationandResource-AllocationinaC-RAN-Based
VWN .......................................................................... 63
5.1 Introduction............................................................. 63
5.2 SystemModel .......................................................... 65
5.3 ProposedTwo-LevelIterativeAlgorithm.............................. 70
5.3.1 AssociationAlgorithm ........................................ 70
5.3.2 RRHAdjustingAlgorithm.................................... 74
5.4 NumericalResultsandDiscussions ................................... 77
5.4.1 SystemParameters ............................................ 77
5.4.2 PerformanceAnalysis......................................... 77
5.5 ConcludingRemarks................................................... 80
References..................................................................... 81
6 ResourceAllocationinaNOMA-BasedVWN ........................... 83
6.1 Introduction............................................................. 83
6.2 SystemModel .......................................................... 84
6.2.1 NOMA......................................................... 85
6.2.2 OFDMA........................................................ 86
6.3 ProposedAlgorithm.................................................... 87
6.3.1 IterativeAlgorithmforNOMA-BasedResource
Allocation...................................................... 88
6.3.2 DualApproachforOFDMA-BasedResourceAllocation... 89
6.4 NumericalResultsandDiscussions ................................... 91
6.5 ConcludingRemarks................................................... 94
References..................................................................... 94
Contents ix
7 Conclusion ................................................................... 95
7.1 Summary................................................................ 95
7.2 PotentialFutureWorks................................................. 96
Appendix BriefNotesonGeometricProgramming
andSuccessiveConvexApproximation.................................... 99
A.1 IntroductiontoGeometricProgramming.............................. 99
A.1.1 MonomialandPosynomialFunction......................... 99
A.1.2 Arithmetic-GeometricMeanApproximation ................ 99
A.1.3 GeometricProgramming...................................... 100
A.1.4 ComplementaryGeometricProgramming ................... 100
A.2 Multi-BlockSuccessiveConvexApproximation ..................... 102
References..................................................................... 103
Acronyms
AWGN AdditiveWhiteGaussianNoise
BBU Basebandunit
bps Bitspersecond
BS Basestation
cdf Cumulativedistributionfunction
CGP ComplementaryGeometricProgramming
CSI ChannelStateInformation
CPRI CommonPublicRadioInterface
C-RAN CloudRadioAccessNetwork
dB Decibels
UA UserAssociation
RA ResourceAllocation
EE EnergyEfficiency
EPA EqualPowerAllocation
GP GeometricProgramming
Hz Hertz
i.i.d. IndependentandIdenticallyDistributed
Imperf ImperfectCSIestimation
IoT Internet-of-Things
KKT Karush-Kuhn-Tucker
LTE LongTermEvolution
MAC MediaAccessControl
MIMO MultipleInputandMultipleOutput
MMSE MinimumMeanSquareError
MRC MaximumRatioCombining
MTC Machinetypecommunications
NOMA Non-orthogonalMultipleAccess
OFDMA OrthogonalFrequencyDivisionMultipleAccess
Perf PerfectCSIestimation
Pr(Outage) OutageProbability
PRB PhysicalResourceBlock
xi