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Predictive analytics in cloud, fog, and edge computing : perspectives and practices of Blockchain, IoT, and 5G / / edited by Hiren Kumar Thakkar [and three others]
| Predictive analytics in cloud, fog, and edge computing : perspectives and practices of Blockchain, IoT, and 5G / / edited by Hiren Kumar Thakkar [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (252 pages) |
| Disciplina | 621.38456 |
| Soggetto topico |
Blockchains (Databases)
5G mobile communication systems Cloud computing |
| ISBN | 3-031-18034-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgement -- Contents -- Collaboration of IoT and Cloud Computing Towards HealthcareSecurity -- 1 Introduction -- 2 Inspiration -- 3 Related Work and Background -- 4 Cloud Computing Deployment Models -- 4.1 Public Internet -- 4.2 Corporate Cloud -- 4.3 Cloud Hybrid -- 4.4 Cloud Provider -- 5 Utility Computing Service Models -- 5.1 Software as a Service (SaaS) -- 5.2 Infrastructure as a Service (IaaS) -- 5.3 Platform as a Service (PaaS) -- 6 Security Issues -- 7 Threats in Cloud Computing -- 7.1 Compromised Identities and Broken Security -- 7.2 Data Infringement -- 7.3 Hacked Frontier and APIs -- 7.4 Manipulated System Vulnerabilities -- 7.5 Permanent Data Loss -- 7.6 Inadequate Assiduity -- 7.7 Cloud Service Inattention -- 7.8 DoS Attacks -- 7.9 Security Challenges in Cloud Infrastructure -- 7.9.1 Security Challenges -- 7.9.2 Challenges of Deployed Models -- 7.9.3 Resource Pooling -- 7.9.4 Unencrypted Data -- 7.9.5 Identity Management and Authentication -- 7.9.6 Network Issues -- 7.10 Point at Issue in the IoT Health Care Framework -- 7.10.1 Reliability -- 7.10.2 Discretion -- 7.10.3 Solitude -- 7.10.4 Unintended Efforts -- 7.11 Challenges -- 7.11.1 Security -- 7.11.2 Confidentiality -- 7.11.3 Assimilation -- 7.11.4 Business Illustration -- 7.12 Dispensing Refined Patient Supervision -- 7.13 Character of IoT in Healthcare -- 7.14 Conclusion -- 7.15 Future Work -- References -- Robust, Reversible Medical Image Watermarking for Transmission of Medical Images over Cloud in Smart IoT Healthcare -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 EHR Insertion (Embedding) and Retrieval (Extraction) -- 3.2 EHR Encryption and Decryption -- 4 Experimental Results and Discussion -- 5 Conclusions -- References -- The Role of Blockchain in Cloud Computing -- 1 Blockchain -- 1.1 Introduction -- 1.2 Characteristics.
1.2.1 Immutability -- 1.2.2 Distributed -- 1.2.3 Enhanced Security -- 1.2.4 Distributed Ledgers -- 1.2.5 Faster Settlement -- 1.2.6 Working of Blockchain -- 1.3 Major Implementations -- 1.3.1 Cryptocurrencies -- 1.3.2 Smart Contracts -- 1.3.3 Monetary Services -- 1.3.4 Games -- 1.4 Blockchain Types -- 1.5 There Are Mainly 4 Types of Blockchain as Shown in Table 1 -- 1.5.1 Public Blockchain Networks -- 1.5.2 Exclusive Blockchain Networks -- 1.5.3 Hybrid Blockchain Networks -- 1.5.4 Consortium Networks -- 1.6 Advantages -- 1.6.1 Secure -- 1.6.2 There Will Be No Intervention from Third Parties -- 1.6.3 Safe Transactions -- 1.6.4 Automation -- 1.7 Disadvantages -- 1.7.1 High Implementation Cost -- 1.7.2 Incompetency -- 1.7.3 Private Keys -- 1.7.4 Storage Capacity -- 2 Cloud Computing -- 2.1 What Is Cloud Computing? -- 2.2 Deployment Models in Cloud -- 2.2.1 Public Cloud -- 2.2.2 Private Cloud -- 2.2.3 Hybrid Cloud -- 2.2.4 Community Cloud -- 2.3 Implementations of Cloud Computing -- 2.3.1 Web Based Services -- 2.3.2 Software as a Service -- 2.3.3 Infrastructure as a Service -- 2.3.4 Platform as a Service -- 2.4 Comparison of Cloud Computing Model with Traditional Model -- 2.4.1 Persistency -- 2.4.2 Automation -- 2.4.3 Cost -- 2.4.4 Security -- 2.5 Advantages of Cloud Computing -- 2.5.1 Cost Efficiency -- 2.5.2 Backup and Recovery -- 2.5.3 Integration of Software -- 2.5.4 Information Availability -- 2.5.5 Deployment -- 2.5.6 Easier Scale for Services and Delivery of New Services -- 2.6 Challenges of Cloud Computing -- 2.6.1 Technical Problems -- 2.6.2 Certainty -- 2.6.3 Vulnerable Attacks -- 2.6.4 Suspension -- 2.6.5 Inflexibility -- 2.6.6 Lack of Assistance -- 2.7 Integration of Cloud Computing with Block Chain -- 2.7.1 The Advantages of Combining Cloud and Blockchain Technology -- 2.7.2 Blockchain Support for Cloud Computing. 2.7.3 Deduplication of Data in the Cloud with Blockchain -- 2.7.4 Access Control Based on Blockchain in Cloud -- References -- Analysis and Prediction of Plant Growth in a Cloud-Based Smart Sensor Controlled Environment -- 1 Introduction -- 2 Literature Survey -- 3 IoT in Greenhouse -- 3.1 Architecture -- 3.2 Cloud Implementation -- 3.3 Hardware Components (Fig. 2) -- 4 System Overview -- 4.1 Dataset -- 4.2 Data Preprocessing -- 4.3 LightGBM -- 4.4 Training and Building the Model -- 5 Results and Explanation -- 6 Conclusion -- References -- Cloud-Based IoT Controlled System Model for Plant DiseaseMonitoring -- 1 Introduction -- 2 Literature Survey -- 3 IoT Controlled Device -- 4 Cloud Architecture -- 5 Methodology -- 5.1 HOG Filter -- 6 Experimental Analysis -- 6.1 Analysis Using Artificial Neural Network -- 6.2 Analysis Using Convolutional Neural Network -- 7 Conclusion -- References -- Design and Usage of a Digital E-Pharmacy Application Framework -- 1 Introduction -- 2 Literature Survey -- 3 Utilization of Cloud in Health Care -- 4 Redefining E-Pharmacy Domain -- 5 Impact of Cloud Computing in Pharmacy -- 6 Model Design and Implementation -- 7 Basic Structure of the Cloud Based E-Pharmacy Application -- 8 Security Provided by the Application -- 8.1 XSS Security (Cross Site Scripting) -- 8.2 CSRF Token (Cross Site Request Forgery) -- 8.3 SQL Injection Security -- 8.4 User Upload Security -- 9 Results and Discussion -- 10 Important Features of the Application -- 11 Critical Goals of the Application -- 12 Benefits of the Model -- 13 Summary/Conclusion -- References -- Serverless Data Pipelines for IoT Data Analytics: A Cloud Vendors Perspective and Solutions -- 1 Introduction -- 1.1 Motivation -- 1.2 Contributions -- 2 Background -- 2.1 Internet of Things -- 2.2 Serverless Data Pipelines for IoT Data Processing -- 3 Literature Survey. 4 Cloud Service Providers (CSP) and IoT Solutions -- 4.1 Edge Tier -- 4.1.1 Comparison of AWS IoT Greengrass and Azure IoT Edge -- 4.2 Cloud Tier -- 5 Real-Time IoT Application: Predictive Maintenance of Industrial Motor -- 6 Building SDP for Predictive Maintenance Application -- 6.1 Proposed Serverless Data Pipelines -- 6.1.1 Building an Anomaly Detection Model -- 6.2 SDP Using AWS and Microsoft Azure -- 7 Experiments and Results -- 7.1 Performance Metrics -- 7.2 Experimental Setup -- 7.3 Results and Discussions -- 8 Conclusions -- References -- Integration of Predictive Analytics and Cloud Computing for Mental Health Prediction -- 1 Introduction -- 2 Method of Approach -- 2.1 Overview of the Subject -- 2.1.1 Supervised Learning -- 2.1.2 Unsupervised Learning -- 2.2 Selection of Papers -- 2.3 Literature Search Strategy -- 2.4 Study Selection -- 2.5 Data Extraction and Analysis -- 3 Introduction to Mental Health Research -- 3.1 Machine Learning in Big Data -- 3.2 Deep Learning in Healthcare -- 3.3 Natural Language Processing -- 4 The Pipeline of Data Flows from the Sensors to the Algorithmic Approach -- 4.1 Sensor Data -- 4.2 Extraction of Features -- 4.3 Designing the Behavioural Markers -- 4.4 Clinical Target -- 5 Cloud Computing -- 5.1 Architecture of Cloud Computing -- 5.2 Benefits of Cloud Computing in the Healthcare Industry -- 5.3 Cloud Computing as a Solution to Mental Health Issues -- 6 Review of Personal Sensing Research -- 7 Result of the Research -- 7.1 Limitations of the Study Done on the Algorithms to Detect Mental Health -- 7.2 Results Based on iCBT Test -- 8 Discussion -- 9 Conclusion -- References -- Impact of 5G Technologies on Cloud Analytics -- 1 Introduction -- 2 Self-Organizing Next Generation Network Data Analytics in the Cloud -- 2.1 What Is Network Data Analytics? -- 2.2 Benefits of Network Data Analytics. 2.3 The Best Uses of Network Data Analytics -- 2.4 The Near Future -- 2.5 The Opportunities -- 3 Intelligent 5G Network Estimation Techniques in the Cloud -- 3.1 Network Estimation Technique -- 3.2 Literature Review -- 4 5G-cloud Integration: Intelligent Security Protocol and Analytics -- 4.1 Scope -- 4.2 5G Cloud Threat -- 4.3 5G-Cloud Integration -- 4.4 Advantages of Security Capabilities -- 5 5G, Fog and Edge Based Approaches for Predictive Analytics -- 5.1 Introduction -- 5.2 Literature Review -- 6 5G and Beyond in Cloud, Edge, and Fog Computing -- 6.1 Edge Computing -- 6.2 Cloud Computing -- 6.3 5G and Beyond -- 7 AI-Enabled Next Generation 6G Wireless Communication -- 7.1 Computation Efficiency and Accuracy -- 7.2 Hardware Development -- 7.3 Types 6 G Wireless Communication -- 7.4 6G Wireless Access Use Case -- References -- IoT Based ECG-SCG Big Data Analysis Framework for Continuous Cardiac Health Monitoring in Cloud Data Centers -- 1 Introduction -- 2 Related Work -- 3 Proposed Cardiac Big Data Analysis Framework -- 3.1 ECG/SCG Data Collection Framework -- 3.2 Data Processing and Analysis Framework -- 3.3 MapReduce Based Cardiac Big Data Processing Model -- 4 Evaluation Results -- 5 Conclusion and Future Works -- References -- A Workload-Aware Data Placement Scheme for Hadoop-Enabled MapReduce Cloud Data Centers -- 1 Introduction -- 2 Related Works -- 3 Problem Description -- 4 Proposed Protocol -- 4.1 System Model -- 5 Problem Formulation -- 5.1 Network Model -- 5.2 Task Processing Model -- 5.3 Workload Distribution -- 6 Data Locality Problem -- 7 Conclusion and Future Works -- References -- 5G Enabled Smart City Using Cloud Environment -- 1 Introduction -- 2 Technologies Used to Build the Smart City -- 2.1 Edge and Fog Computing -- 2.2 What Price Does 5G Provide for Fog Computing? -- 2.3 Cloud Computing -- 2.4 Internet of Things. 3 SmartCity Architecture. |
| Record Nr. | UNISA-996547962603316 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Printed antennas for 5G networks / / Ladislau Matekovits [and three others], editors
| Printed antennas for 5G networks / / Ladislau Matekovits [and three others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022] |
| Descrizione fisica | 1 online resource (viii, 371 pages) : illustrations (some color) |
| Disciplina | 621.38456 |
| Collana | PoliTO Springer series |
| Soggetto topico |
Antennas (Electronics)
5G mobile communication systems Printed electronics |
| ISBN | 3-030-87605-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910558488803321 |
| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the 1st Workshop on 5G Measurements, Modeling, and Use Cases / / Association for Computing Machinery
| Proceedings of the 1st Workshop on 5G Measurements, Modeling, and Use Cases / / Association for Computing Machinery |
| Pubbl/distr/stampa | New York, New York : , : Association for Computing Machinery, , 2021 |
| Descrizione fisica | 1 online resource (40 pages) : illustrations |
| Disciplina | 621.38456 |
| Soggetto topico | 5G mobile communication systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910574883203321 |
| New York, New York : , : Association for Computing Machinery, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the ACM SIGCOMM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases / / Ozgu Alay, Ying Wang
| Proceedings of the ACM SIGCOMM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases / / Ozgu Alay, Ying Wang |
| Autore | Alay Ozgu |
| Pubbl/distr/stampa | New York, New York : , : Association for Computing Machinery, , 2022 |
| Descrizione fisica | 1 online resource |
| Disciplina | 621.38456 |
| Collana | ACM Conferences |
| Soggetto topico | 5G mobile communication systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910588792203321 |
Alay Ozgu
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| New York, New York : , : Association for Computing Machinery, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Protecting consumers and competition : an examination of the T-Mobile and Sprint merger : hearing before the Subcommittee on Communications and Technology of the Committee on Energy and Commerce, House of Representatives, One Hundred Sixteenth Congress, first session, February 13, 2019
| Protecting consumers and competition : an examination of the T-Mobile and Sprint merger : hearing before the Subcommittee on Communications and Technology of the Committee on Energy and Commerce, House of Representatives, One Hundred Sixteenth Congress, first session, February 13, 2019 |
| Pubbl/distr/stampa | Washington : , : U.S. Government Publishing Office, , 2020 |
| Descrizione fisica | 1 online resource (vi, 267 pages) : illustrations, maps |
| Soggetto topico |
5G mobile communication systems
Consolidation and merger of corporations - United States Rural telecommunication - Government policy - United States Broadband communication systems - Government policy - United States Digital divide - United States - Prevention |
| Soggetto genere / forma | Legislative hearings. |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Protecting consumers and competition |
| Record Nr. | UNINA-9910713922803321 |
| Washington : , : U.S. Government Publishing Office, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Radio access network slicing and virtualization for 5G vertical industries / / Lei Zhang [et al.]
| Radio access network slicing and virtualization for 5G vertical industries / / Lei Zhang [et al.] |
| Autore | Zhang Lei (Engineering teacher) |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley : , : IEEE Press, , [2021] |
| Descrizione fisica | 1 online resource (xxxii, 288 pages) : illustrations (some color) |
| Disciplina | 621.38456 |
| Collana | Wiley - IEEE |
| Soggetto topico |
5G mobile communication systems
Multiple access protocols (Computer network protocols) |
| ISBN |
1-119-65247-2
1-119-65245-6 1-119-65243-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | About the editors -- Preface -- Part 1: Waveforms and Mixed-Numerology -- Ch 1: ICI Cancellation Techniques Based on Data Repetition for OFDM Systems -- Ch 2: Generalized Frequency Division Multiplexing: Unified Multicarrier Framework -- Ch 3: Offset Quadrature Amplitude Modulation based Filter Bank Multicarrier System -- Ch 4: Low Electromagnetic Emission Wireless Network Technologies 5G and Beyond -- Ch 5: Filtered OFDM: an Insight into Intrinsic In-Band Interference -- Ch 6: Multi-Numerology Waveform Parameter Assignment in 5G -- Part 2: RAN Slicing and 5G vertical industries -- Ch 7: Network Slicing with Spectrum Sharing -- Ch 8: Access Control and Handoff Policy Design for RAN slicing -- Ch 9: Robust RAN Slicing -- Ch 10: Flexible function split over Ethernet Enabling RAN Slicing -- Ch 11: Service oriented RAN Support of Network Slicing -- Ch 12: 5G Network Slicing for V2X Communications: Technologies and Enablers -- Ch 13: Optimizing Resource Allocation in URLLC for Real-Time Wireless Control Systems |
| Record Nr. | UNINA-9910554817703321 |
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Zhang Lei (Engineering teacher)
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| Hoboken, NJ : , : Wiley : , : IEEE Press, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Radio access network slicing and virtualization for 5G vertical industries / / Lei Zhang [et al.]
| Radio access network slicing and virtualization for 5G vertical industries / / Lei Zhang [et al.] |
| Autore | Zhang Lei (Engineering teacher) |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley : , : IEEE Press, , [2021] |
| Descrizione fisica | 1 online resource (xxxii, 288 pages) : illustrations (some color) |
| Disciplina | 621.38456 |
| Collana | Wiley - IEEE |
| Soggetto topico |
5G mobile communication systems
Multiple access protocols (Computer network protocols) |
| ISBN |
1-119-65247-2
1-119-65245-6 1-119-65243-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | About the editors -- Preface -- Part 1: Waveforms and Mixed-Numerology -- Ch 1: ICI Cancellation Techniques Based on Data Repetition for OFDM Systems -- Ch 2: Generalized Frequency Division Multiplexing: Unified Multicarrier Framework -- Ch 3: Offset Quadrature Amplitude Modulation based Filter Bank Multicarrier System -- Ch 4: Low Electromagnetic Emission Wireless Network Technologies 5G and Beyond -- Ch 5: Filtered OFDM: an Insight into Intrinsic In-Band Interference -- Ch 6: Multi-Numerology Waveform Parameter Assignment in 5G -- Part 2: RAN Slicing and 5G vertical industries -- Ch 7: Network Slicing with Spectrum Sharing -- Ch 8: Access Control and Handoff Policy Design for RAN slicing -- Ch 9: Robust RAN Slicing -- Ch 10: Flexible function split over Ethernet Enabling RAN Slicing -- Ch 11: Service oriented RAN Support of Network Slicing -- Ch 12: 5G Network Slicing for V2X Communications: Technologies and Enablers -- Ch 13: Optimizing Resource Allocation in URLLC for Real-Time Wireless Control Systems |
| Record Nr. | UNINA-9910829910903321 |
|
Zhang Lei (Engineering teacher)
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| Hoboken, NJ : , : Wiley : , : IEEE Press, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Resilience series : bug bytes / / Clint Watts, Farid Haque
| Resilience series : bug bytes / / Clint Watts, Farid Haque |
| Autore | Watts Clint |
| Pubbl/distr/stampa | [Washington, D.C.] : , : Cybersecurity and Infrastructure Security Agency, , 2020 |
| Descrizione fisica | 1 online resource (59 pages) : color illustrations |
| Soggetto topico |
Disinformation
Online trolling Propaganda COVID-19 (Disease) 5G mobile communication systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Resilience series |
| Record Nr. | UNINA-9910716672803321 |
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Watts Clint
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| [Washington, D.C.] : , : Cybersecurity and Infrastructure Security Agency, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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RF Circuits for 5G Applications : Designing with MmWave Circuitry / / edited by Sangeeta Singh [and three others]
| RF Circuits for 5G Applications : Designing with MmWave Circuitry / / edited by Sangeeta Singh [and three others] |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., and Scrivener Publishing LLC, , [2023] |
| Descrizione fisica | 1 online resource (340 pages) |
| Disciplina | 621.38412 |
| Soggetto topico |
Radio frequency integrated circuits
5G mobile communication systems |
| ISBN |
1-119-79294-0
1-119-79293-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Part I: 5G Communication -- Chapter 1 Needs and Challenges of the 5th Generation Communication Network -- 1.1 Introduction -- 1.1.1 What is 5G and Do We Need 5G? -- 1.1.2 A Brief History of Gs -- 1.2 mmWave Spectrum, Challenges, and Opportunities -- 1.3 Framework Level Requirements for mmWave Wireless Links -- 1.4 Circuit Aspects -- 1.5 Outline of the Book -- Acknowledgement -- References -- Chapter 2 5G Circuits from Requirements to System Models and Analysis -- 2.1 RF Requirements Governed by 5G System Targets -- 2.2 Radio Spectrum and Standardization -- 2.3 System Scalability -- 2.4 Communication System Model for RF System Analysis -- 2.5 System-Level RF Performance Model -- 2.5.1 Transmitter, Receiver, Antenna Array and Transceiver Architectures for RF and Hybrid Beamforming -- 2.6 Radio Propagation and Link Budget -- 2.6.1 Radio Propagation Model -- 2.6.2 Link Budgeting -- 2.7 Multiuser Multibeam Analysis -- 2.8 Conclusion -- Acknowledgement -- References -- Chapter 3 Millimetre-Wave Beam-Space MIMO System for 5G Applications -- 3.1 Introduction -- 3.2 Beam-Space Massive MIMO System -- 3.2.1 System Model -- 3.2.2 Saleh-Valenzuela Channel Model -- 3.3 Array Response Vector -- 3.3.1 mmWave Beam-Space Massive (mWBSM)-MIMO System -- 3.4 Discrete Lens Antenna Array -- 3.5 Beam Selection Algorithm -- 3.6 Mean Sum Assignment-Based Beam User Association -- 3.6.1 Performance Evaluation -- 3.7 Conclusion -- References -- Part II: Oscillator & -- Amplifier -- Chapter 4 Gain-Bandwidth Enhancement Techniques for mmWave Fully-Integrated Amplifiers -- 4.1 RLC Tank -- 4.1.1 RC Low-Pass (LP) Filter -- 4.1.2 RLC Band-Pass (BP) Filter -- 4.2 Coupled Resonators -- 4.2.1 Bode-Fano (B-F) Limit -- 4.2.2 Capacitively Coupled Resonators -- 4.2.3 Inductively Coupled Resonators.
4.2.4 Magnetically Coupled Resonators -- 4.2.5 Magnetically and Capacitive Coupled Resonator -- 4.2.6 Coupled Resonators Comparison -- 4.3 Resonators Based on the Transformers -- 4.3.1 On the Parasitic Interwinding Capacitance -- 4.3.2 Effect of Unbalanced Capacitive Terminations -- 4.3.3 Frequency Response Equalization -- 4.3.4 On the Parasitic Magnetic Coupling in Multistage Amplifiers -- 4.3.5 Extension to Impedance Transformation -- 4.3.6 On the kQ Product -- 4.3.7 Transformer-Based Power Dividers (PDs) -- 4.3.8 Transformer-Based Power Combiners (PCs) -- 4.4 Conclusion -- Acknowledgments -- References -- Chapter 5 Low-Noise Amplifiers -- 5.1 Introduction -- 5.2 Basics of RFIC -- 5.2.1 Voltage Gain in dB -- 5.2.2 Power Gain in dB -- 5.2.3 Issues in RF Design -- 5.3 Structure of MOSFET -- 5.4 Bandwidth Estimation Techniques -- 5.5 Noise -- 5.5.1 Noise in MOSFET -- 5.6 Different Topologies of LNA -- Conclusion -- Acknowledgement -- References -- Chapter 6 Mixer Design -- 6.1 Introduction -- 6.2 Properties -- 6.3 Diode Mixer -- 6.4 Transistor Mixer -- 6.5 Conclusion -- Acknowledgement -- References -- Chapter 7 RF LC VCOs Designing -- 7.1 Introduction -- 7.1.1 Basic VCO Models -- 7.1.2 Phase Noise -- 7.1.3 Flicker Noise -- 7.1.4 Distributed Oscillators -- 7.2 Tuning Extension Techniques -- 7.2.1 Varactor -- 7.2.2 Switched Capacitors -- 7.2.3 Switched Inductors -- 7.2.4 Switched TLs -- 7.2.5 4th Order Tanks and Other Techniques -- 7.3 Conclusion -- Acknowledgement -- References -- Chapter 8 RF Power Amplifiers -- 8.1 Specification -- 8.1.1 Efficiency -- 8.1.2 Generic Amplifier Classes -- 8.1.3 Heating -- 8.1.4 Linearity -- 8.1.5 Ruggedness -- 8.2 Bipolar PA Design -- 8.3 CMOS Power Amplifier Design -- 8.3.1 Performance Parameters -- 8.3.1.1 Linearity -- 8.3.1.2 Gain -- 8.3.1.3 Efficiency -- 8.3.1.4 Output Power -- 8.3.1.5 Power Consumption. 8.3.2 Drawbacks of CMOS Power Amplifier -- 8.3.3 Design of CMOS Power Amplifier -- 8.3.3.1 Common Cascode PA Design -- 8.3.3.2 Self-Bias Cascode PA Design -- 8.3.3.3 Differential Cascode PA Design -- 8.3.3.4 Power Combining PA Design -- 8.4 Linearization Principles: Predistortion Technique, Phase-Correcting Feedback, Envelope Elimination and Restoration (EER), Cartesian Feedback -- 8.4.1 Predistortion Linearization Technique -- 8.4.2 Phase Correcting Feedback Technique -- 8.4.3 Cartesian Feedback Technique -- 8.4.4 Envelope Elimination and Restoration Technique -- Acknowledgement -- References -- Chapter 9 RF Oscillators -- 9.1 Introduction -- 9.2 Specifications -- 9.2.1 Frequency and Tuning -- 9.2.2 Tuning Constant and Linearity -- 9.2.3 Power Dissipation -- 9.2.4 Phase to Noise Ratio -- 9.2.5 Reciprocal Mixing -- 9.2.6 Signal to Noise Degradation of FM Signals Spurious Emission -- 9.2.7 Harmonics, I/Q Matching, Technology and Chip Area -- 9.3 LC Oscillators -- 9.3.1 Frequency, Tuning and Phase Noise Frequency Tuning Phase Noise to Carrier Ratio -- 9.3.2 Topologies -- 9.3.3 NMOS Only Cross-Coupled Structure -- 9.3.4 RC Oscillators -- 9.4 Design Examples -- 9.4.1 830 MHz Monolithic LC Oscillator Circuit Design Measurements -- 9.4.2 A 10 GHz I/Q RC Oscillator with Active Inductors -- 9.5 Conclusion -- Acknowledgement -- References -- Part III: RF Circuit Applications -- Chapter 10 mmWave Highly-Linear Broadband Power Amplifiers -- 10.1 Basics of PAs -- 10.1.1 Single Transistor Amplifier -- 10.1.2 Trade-Offs Among Power Amplifier Design Parameters (P0, PAE and Linearity) -- 10.1.3 Harmonic Terminations and Switching Amplifiers -- 10.1.4 Challenges at Millimeter-Wave -- 10.2 Millimeter Wave-Based AB Class PA -- 10.2.1 Efficiency at Power Back-Off -- 10.2.2 Sources of AM-PM Distortion -- 10.2.3 Distortion Cancellation Techniques. 10.2.3.1 Input PMOS Varactors -- 10.2.3.2 Complementary N-PMOS Amplifier -- 10.2.3.3 Degeneration Inductance -- 10.2.3.4 Harmonic Traps -- 10.3 Design Example: A Highly Linear Wideband PA in 28 nm CMOS -- 10.3.1 Transformer-Based Output Combiner and Inter-Stage Power Divider -- 10.3.2 More on the kQ Product -- 10.4 Conclusion -- Acknowledgments -- References -- Chapter 11 FinFET Process Technology for RF and Millimeter Wave Applications -- 11.1 Evaluation of FinFET Technology -- 11.1.1 Steps of Fabrication and Process Flow of FinFET Technology -- 11.1.2 Digital Performance -- 11.1.3 Analog/RF Performance -- 11.2 Distinct Properties of FinFET -- 11.2.1 Performance with Transistor Scaling -- 11.2.2 Nonlinear Gate Resistance by Three Dimensional Structure -- 11.2.3 Self-Heating Effect in FinFETs -- 11.3 Assessment of FinFET Technology for RF/mmWave Applications -- 11.3.1 RF Performance -- 13.3.1.1 Parasitic Extraction -- 11.3.2 Noise Performance -- 11.3.3 Noise Matching with Gain at the mmWave Frequency -- 11.4 Design Process of FinFET for RF/mmWave Performance Optimization -- 11.4.1 Cascaded Chain Design Consideration for Wireless System -- 11.4.2 Optimization of Noise Figure with Gmax for LNA Within Self-Heat Limit -- 11.4.3 Gain Per Power Efficiency -- 11.4.4 Linearity for Gain and Power Efficiency -- 11.4.5 Neutralization for mmWave Applications -- References -- Chapter 12 Pre-Distortion: An Effective Solution for Power Amplifier Linearization -- 12.1 Introduction -- 12.2 Standard Measures of Nonlinearity of Power Amplifier -- 12.2.1 Gain Compression Point (1 dB) -- 12.2.2 Harmonic and Intermodulation Distortion (IMD) -- 12.2.3 Third-Order Intercept Point (TOI) -- 12.2.4 AM/AM and AM/PM Distortion -- 12.2.5 Adjacent Channel Power Ratio (ACPR) -- 12.2.6 Error Vector Magnitude (EVM) -- 12.3 What is Linearization? -- 12.3.1 Feed Forward Linearization. 12.3.2 Feedback Linearization -- 12.3.3 Pre-Distortion Linearization -- 12.4 Example of Analog Pre-Distortion-Based Class EFJ Power Amplifier -- Conclusion and Future Scope -- References -- Chapter 13 Design of Control Circuit for Mitigation of Shadow Effect in Solar Photovoltaic System -- 13.1 Introduction -- 13.2 Proposed Methodology -- 13.3 Results and Discussion -- 13.4 Conclusion -- Acknowledgement -- References -- Part IV: RF Circuit Modeling -- Chapter 14 HBT High-Frequency Modeling and Integrated Parameter Extraction -- 14.1 HBT High-Frequency Modeling and Integrated Parameter Extraction -- 14.2 High-Frequency HBT Modeling -- 14.2.1 DC and Small Signal Models -- 14.2.2 Linearized T-Model -- 14.2.3 Linearized Hybrid ð model -- 14.3 Integrated Parameters Extraction -- 14.3.1 Formulation of Integrated Parameter Extraction -- 14.3.2 Optimization of Model -- 14.4 Noise Model Validation -- 14.5 Parameters Extraction of an HBT Model -- Acknowledgement -- References -- Chapter 15 Non-Linear Microwave Circuit Design Using Multi-Harmonic Load-Pull Simulation Technique -- 15.1 Introduction -- 15.2 Multi-Harmonic Load-Pull Simulation Using Harmonic Balance -- 15.2.1 Formulation of Multi-Harmonic Load-Pull Simulation -- 15.2.2 Systematic Design Procedure -- 15.3 Application of Multiharmonic Load-Pull Simulation -- 15.3.1 Narrowband Power Amplifier Design -- 15.3.2 Frequency Doubler Design -- References -- Chapter 16 Microwave RF Designing Concepts and Technology -- 16.1 Introduction -- 16.1.1 Gain -- 16.1.2 Noise -- 16.1.3 Non Linearity -- 16.1.4 Sensitivity -- 16.2 Microwave RF Device Technology and Characterization -- 16.2.1 Characterization and Modeling -- 16.2.2 Modeling -- 16.2.3 Cut-Off Frequency -- 16.2.4 Maximum Oscillation Frequency -- 16.2.5 Input Limited Frequency -- 16.2.6 Output Limited Frequency -- 16.2.7 Maximum Available Frequency. 16.2.8 Technology Choices. |
| Record Nr. | UNINA-9910830172503321 |
| Hoboken, NJ : , : John Wiley & Sons, Inc., and Scrivener Publishing LLC, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Smart and sustainable approaches for optimizing performance of wireless networks : real-time applications / / edited by Sherin Zafar [and four others]
| Smart and sustainable approaches for optimizing performance of wireless networks : real-time applications / / edited by Sherin Zafar [and four others] |
| Pubbl/distr/stampa | Hoboken, New Jersey ; ; Chichester, England : , : John Wiley & Sons, Inc., , [2022] |
| Descrizione fisica | 1 online resource (323 pages) |
| Disciplina | 621.38456 |
| Soggetto topico |
5G mobile communication systems
Network performance (Telecommunication) |
| ISBN |
1-119-68253-3
1-119-68255-X 1-119-68252-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910555117903321 |
| Hoboken, New Jersey ; ; Chichester, England : , : John Wiley & Sons, Inc., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
