Reliable Narrow Band-IoT in 6G and Beyond Communication Systems

The rapidproliferationofInternetofThings(IoT)devicesandtheemergenceofmassive
Machine-TypeCommunications(mMTC)infth-generation(5G)andbeyondcommuni-
cation systemshaveintroducedunprecedenteddemandsonwirelessnetworksintermsof
scalability,energyeciency,latency,andspectrumutilization.NarrowbandInternetof
Things (NB-IoT)hasemergedasakeyenablingtechnologycapableofsupportinglarge-
scale deploymentsoflow-powerdevicesacrosswidegeographicalareaswhilemaintaining
reliable connectivity.However,themassivedensityofIoTdevicesintroducescriticalchal-
lenges forNB-IoTnetworks,includingexcessiveenergyconsumptionforbattery-powered
devices, networkcongestion,packetcollisions,latencydegradation,andinecientspectrum
utilization. Thesechallengesareexpectedtointensifyascommunicationsystemsevolve
towardsixth-generation(6G)networkswherebillionsofdeviceswillcompeteforlimited
radio resources.Addressingtheseissuesrequiresadvancedoptimizationstrategiescapable
of improvingbothdevice-levelenergyeciencyandnetwork-levelperformancewhileensur-
ing scalableandreliablecommunication.Thisthesisproposesanintegratedoptimization
frameworkdesignedtoenhancetheperformanceandscalabilityofNB-IoTnetworksthrough
severalcomplementarymechanismsoperatingacrossdierentlayersofthesystem.First,an
energy-ecientcommunicationstrategybasedondatacompressionandtransmissionag-
gregation isintroducedtoreducethesizeandfrequencyoftransmittedpackets,thereby
loweringtheenergyconsumptionofbattery-poweredIoTdevicesandextendingtheirop-
erational lifetime.Buildinguponthisapproach,adynamictransmissionmodeswitching
mechanismisdevelopedthatenablesNB-IoTdevicestoadaptivelyselectamongthestan-
dardized deploymentmodesaccordingtoreal-timenetworkconditionssuchassignalquality,
congestion levels,andretransmissionrequirements,improvingspectrumutilizationandre-
ducing packetlossindensenetworkscenarios.Tofurtherenhancenetworkresponsiveness,

a priority-awareschedulingframeworkisproposedthatincorporatesapplication-levelprior-
ities intotheresourceallocationprocess,ensuringthatdelay-sensitiveIoTservicesreceive
timely transmissionopportunitieswhilemaintainingfairnessamongdevices.Inaddition,a
clustering-based optimizationapproachusinggeneticalgorithmsisintroducedtoeciently
manage massivedeviceconnectivitybyorganizingdevicesintobalancedclustersbasedon
their transmissioncharacteristicsandrepetitionrequirements,therebymitigatingconges-
tion andimprovingchannelutilization.Furthermore,acognitiveradioassistedNB-IoT
frameworkisproposedtodynamicallyidentifyandexploitavailablespectrumopportunities
through spectrumawarenessandadaptivetracooadingmechanisms,enablingimproved
scalabilityandreliabilityduringmassiveaccessevents.Extensivesimulationresultsdemon-
strate thattheproposedframeworksignicantlyimprovesNB-IoTnetworkperformancein
terms ofenergyeciency,latencyreduction,packetlossminimization,andoverallsystem
capacitywhencomparedwithconventionalNB-IoTcongurations.Theresultshighlightthe
eectivenessofintegratingenergy-ecientcommunicationstrategies,adaptivetransmission
mechanisms,priority-awarescheduling,intelligentclustering,andcognitiveradiotechniques
to supportscalableNB-IoToperationinfuture6Gcommunicationnetworks.
Keywords: NB-IoT, mMTC,EnergyEciency,DataCompression,TransmissionAggrega-
tion, DynamicModeSwitching,Priority-AwareScheduling,GeneticAlgorithmClustering,
CognitiveRadio,5G,6G.