Enabling Technologies for Next Generation Wireless Communications
Technology Evolution of Wireless Communications: A Survey and Look ForwardIntroductionHistorical Background and Evolution of Wireless SystemsApplication Scenarios of Next Generation Wireless SystemsRequirements of Next Generation Wireless SystemsNeed for 5G and BeyondEnabling Technologies of Next Generation Wireless SystemsConclusionsReferencesEnabling Technologies and Enabling Business Models for Next Generation Wireless CommunicationsIntroductionMain Contributions and Related WorksEnabling Technologies and Enabling Business Models for Wireless CommunicationsAssessment of Enabling Technologies and Enabling Business Models for Previous-Generation, Current-Generation, and Emerging-Generation Wireless CommunicationsAssessment of Enabling Technologies and Enabling Business Models for Next Generation Wireless CommunicationsIntegrated Framework for Enabling Technologies and Enabling Business Models for Next Generation Wireless CommunicationsConclusionsNotesReferencesEnabling Technologies for Internet of EverythingIntroductionEnabling Technologies for IoEData Management and Security in IoESystem Management and Protection for IoEApplications of IoEEnabling IoE in Developing CountriesConclusionReferencesPower Allocation Techniques for Visible Light: Nonorthogonal Multiple Access Communication SystemsIntroductionRelated WorkVisible Light CommunicationNonorthogonal Multiple AccessVisible Light–Nonorthogonal Multiple Access Communication SystemProblem Formulation and Potential ContributionSystem Model for VL-NOMA Communication SystemPower Allocation Techniques with Decoding Order for VL-NOMA Communication SystemsConventional Power Allocation Scheme for VL-NOMA Communication SystemInverse Power Allocation Scheme for VL-NOMA Communication SystemAdaptive Power Allocation Scheme for VL-NOMA Communication SystemGain Ratio Power Allocation Scheme for VL-NOMA Communication SystemUser Data Rate for GRPA VL-NOMA Communication SystemJoint Power Allocation for VL-NOMA Communication SystemOptimal PA Technique in VL-NOMA Communication SystemComparison of Power Allocation TechniquesSummaryReferencesMultiantenna Systems: Large-Scale MIMO and Massive MIMOIntroductionMassive MIMO Uplink and DownlinkSpectral Efficiency (SE)Area ThroughputPrecodingSingle-Cell (SC) Precoding TechniquesPrecoding Techniques for the Downlink of Multicell ScenarioHybrid PrecodingMassive MIMO with Linear Precoding and DetectionEnergy Efficiency (EE)ReferencesChannel Estimation Techniques in the MIMO-OFDM SystemIntroductionConventional MIMOMassive MIMOChannel Estimation TechniquesLeast Square (LS) EstimationMaximum Likelihood EstimationMMSE Channel EstimationPilot- or Training-Based Channel EstimationBlind Channel EstimationSemi-Blind Channel EstimationStrengths and Limitations of Existing Estimation TechniquesConclusionReferencesLocalization Protocols for Wireless Sensor NetworksIntroductionClassification of Localization SchemesRange-Based LocalizationRange-Free LocalizationAnchor-Based LocalizationAnchor-Free LocalizationDirectional LocalizationConclusionReferencesDistributed Intelligent NetworksIntroductionGlobal Impact of 5G and AIoTRequirements for Next Generation Distributed Intelligence Wireless NetworksEnabling Technological Uses Cases for 5G and AIoT SystemsConclusionReferencesAntenna Design Challenges for 5G: Assessing Future DirectionIntroductionAntenna Design FlowAntenna Integration with Radio Transceiver ICsMultiple Beam Antenna Patterns and Their CharacterizationAntenna Pattern CharacterizationThe Antenna Design Challenges for 5G CommunicationHigh Gain ArraysBeamforming and BeamsteeringMassive MIMOMultiband with Backward CompatibilityCompactnessDiversity Performance – MIMOAntenna PlacementAntenna EnvironmentRadiation Exposure in 5G CommunicationSpecific Absorption Rate (SAR)Power Density (PD)Antenna MeasurementConclusionReferencesDesign and Simulation of New Beamforming: Based Cognitive Radio for 5G NetworksIntroductionEvading the Eergy Crunch: Cognitive RadioIntroduction to BeamformingSystem ModelOptimization ProblemFramework for Optimal SolutionResultsConclusionReferencesImage Transmission Analysis Using MIMO-OFDM SystemsIntroductionMIMO SystemsSimulation ResultsBeamformingMaximal Ratio CombiningSelection CombiningConclusionReferencesPhysical Layer Security in Two-Way Wireless Communication SystemIntroduction: Background and MotivationsSecrecy at the Physical Layer in the TWC with a Number of Untrusted AF Relays That Harvest Energy from RF Sources and Operate in Half- Duplex ModeA System Model of TWC with a Number of Untrusted AF RelaysPower allocation to the cognitive nodesSecrecy Capacity and Relay SelectionSOP Formulation with Untrusted AF RelaysNumerical Results Based on the SOP in Two-Way Communication with AF RelaysSecrecy at the Physical Layer in TWC with Two Half-Duplex DF Relays in the Presence of an External EavesdropperSystem Model of Two-Way Communication with DF RelaysSignal strengthGlobal secrecy capacitySOP Formulation with DF Relays and Optimality of Source Power and Fraction of Relay PowerSOP formulationOptimality of source power and fraction of relay powerNumerical Results Based on the SOP and Observation of Optimal ValueConclusionReferencesDesign and Simulation of Bio-Inspired Algorithm: Based Cognitive Radio for 5G NetworksIntroductionCognitive RadioIntroduction to Genetic AlgorithmSystem ModelOptimization ProblemFramework for Optimal SolutionResults and DiscussionsConclusion and Future ScopeReferencesEvaluating the Performance of Quasi and Rotated Quasi OSTBC System with Advanced Detection Techniques for 5G and IoT ApplicationsIntroduction