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Advances in Communication, Devices and Networking : Proceedings of ICCDN 2024, Volume 1 / / edited by Sourav Dhar, Subhas Mukhopadhyay, Dinh-Thuan Do, Samarendra Nath Sur, Agbotiname Lucky Imoize
| Advances in Communication, Devices and Networking : Proceedings of ICCDN 2024, Volume 1 / / edited by Sourav Dhar, Subhas Mukhopadhyay, Dinh-Thuan Do, Samarendra Nath Sur, Agbotiname Lucky Imoize |
| Autore | Dhar Sourav |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (536 pages) |
| Disciplina | 621.382 |
| Altri autori (Persone) |
MukhopadhyaySubhas
DoDinh-Thuan SurSamarendra Nath ImoizeAgbotiname Lucky |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Telecommunication
Signal processing Artificial intelligence Materials science Communications Engineering, Networks Signal, Speech and Image Processing Artificial Intelligence Materials Science |
| ISBN |
9789819764655
9819764653 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. High Speed Congestion Aware Routing Algorithm for Network on Chip Architecture -- 2. Impact of Technology Node on Low Power Analog Performance of AU TFET -- 3. Comparative Analysis of the Electrical and Dielectric Characteristics of a Novel Glassy Ceramic and Its Crystalline Analogue -- 4. DFT Investigation of Fe Doped ZnO Monolayer for Adsorption of Toxic Gases -- 5. Printed Circuit Board Assembly Welding Process Based on Computer Aided Design -- 6. Enhancing Endangered Animal Conservation through Deep Learning-Powered Monitoring -- 7. Direct Approach for Modelling a Class of Fractional Order System Using Two Generating Functions -- 8. Classification of Parkinson’s and Control Subjects with Machine Learning. |
| Record Nr. | UNINA-9910983377703321 |
Dhar Sourav
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intersection of Artificial Intelligence, Data Science, and Cutting-Edge Technologies: From Concepts to Applications in Smart Environment : ICAISE’2024, Volume 1 / / edited by Yousef Farhaoui, Tutut Herawan, Agbotiname Lucky Imoize, Ahmad El Allaoui
| Intersection of Artificial Intelligence, Data Science, and Cutting-Edge Technologies: From Concepts to Applications in Smart Environment : ICAISE’2024, Volume 1 / / edited by Yousef Farhaoui, Tutut Herawan, Agbotiname Lucky Imoize, Ahmad El Allaoui |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XIV, 754 p. 307 illus., 260 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Engineering - Data processing Artificial intelligence Computational Intelligence Data Engineering Artificial Intelligence |
| ISBN | 3-031-88304-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Enhancing Customer Segmentation with Unsupervised Deep Learning -- Development of an EEG Controlled Soft Robotics-Based Active Hand Prosthesis for Enhanced Functionality -- RCSF & IOT In Monitoring of Obstructive Sleep Apnea -- Artificial Intelligence full potential yet attained in the e participation -- Recognition of American Sign Language using hard voting -- Smart Intrusion Detection System in Cloud Computing : A Systematic Review -- Enhancing last mile delivery efficiency through connected vehicle technology and collaborative logistics A systematic literature review -- A Review of some Semantics Methods for Translating Moroccan Text to Moroccan Sign Language -- Analysis of Depressed Patients' Sentiments towards Treatment AI Approach for Healthcare Professionals -- Understanding AI and Google's broader efforts in AI -- Integration of Generative AI and Multimodal Deep Learning for Early Detection of Chemotherapy Induced Cardiotoxicity -- Optimizing Workforce Stability Machine Learning Approaches for Predicting Employee Attrition -- XAI Driven Credit Risk Modeling A Comparative Analyses of Model Performance and Interpretability -- Adaptive Machine Learning Based Intrusion Detection Systems for IoT Networks A Dynamic Approach -- The nexus between renewable energy and Industry 5.0 A Data Driven Approach -- Integrating Augmented Reality and IoT Sensors for Advanced Real Time Greenhouse Control -- Design of Compact Band pass Filter Using Metamaterial Cell Unit Structures for Modern Communication Systems -- Feature Selection Techniques for Linear Regression in Solar Irradiance Forecasting -- A Survey on Image based ulcer detection -- Enhancing Cyber Resilience through AI Driven Phishing Tests and Gamified Learning -- Identifying and Preventing Fraudulent Activities in Financial Transactions Using Artificial Intelligence -- A Novel Deep Clustering Approach to Assess Dominance Between Solutions of a Multi-Objective Optimization Problem -- Harnessing artificial intelligence in mobile health for diabetes management: A systematic review -- Advances in Solar Energy Forecasting: Integrating Machine Learning and Hybrid Approaches -- Mathematical Modeling of Monetary Poverty by K-Nearest Neighbors Algorithm -- The effects of Fintechs on the Financial Performance: An Empirical Study Based on Moroccan innovative companies -- Machine learning for water resources in Morocco rapid review -- Assessing Territorial Attractiveness in Moroccan Provinces: A Structural Modeling Approach -- Intelligent Radar Systems A Comprehensive Study of Cognitive Radar's Evolution and Principles -- Use of Deep Learning Techniques for Classification and Prediction of High School Students Needing Academic Support -- A high gain and wideband dual port-based metamaterial MIMO antenna for 5G applications -- Machine Learning for Detecting Fake Accounts in OSNs A Review -- Literature Review on Smart Student Orientation Based on Recommendation Systems -- Enhancing Financial Decision Making with Explainable Artificial Intelligence A Case Study in Credit Risk Assessment -- A Novel Deep Ordinal Neural Network Model for Guava Fruit Quality Control -- Enhancing Urban Pollution Reduction via Reinforcement Learning-Based Traffic Light Optimization -- Optimization of a system to enhance photovoltaic module performance while producing thermal energy -- Improved Fault Classification in Photovoltaic Panels Using kNN Machine Learning -- Nudging Users Towards Embracing Electronic Payments -- CNN and Vision Transformer Models for Detecting Cheating in Online Examinations A Comparative Evaluation -- Conception of a Symmetric Fully Homomorphic Protocol based on Gentry Scheme -- Lane Detection using Computer Vision Techniques -- Design and Optimization of Fractal Multiband Antenna for mmWave Applications -- Comparative Analysis of Supervised Machine Learning Classification Models -- Toward a QoS improvement in IoT by Combining Fuzzy Logic and Machine Learning Algorithms -- AI integration in finance a shortfall -- A Deep Learning Framework for Pedestrian Detection from FMCW Radar Data -- Pruning and Quantization of CNN Based Intrusion Detection Systems for Cyber-Physical Systems -- Efficient Data Preprocessing for Ecological Quality Assessment in Marine Environments -- Comparative Analysis of Advanced Deep Learning Models for Depression and Suicide Detection on Social Media -- Metrics of Attractiveness: Developing a synthetic index for the territorial attractiveness of small towns in Morocco -- Optimizing Post Quantum Blockchain Performance Through Adaptive Block Segmentation: A Comparative Study -- Machine learning approach for the classification to overcome traffic sign detection challenge -- Hybrid Approach for IoT based Medical image Encryption and Compression using Modified AES and Chaos Theory -- Study and design of a new "MIMO" printed antenna structure for industrial, scientific, and medical applications -- A Hybrid Method for Student Engagement Recognition Using Handcrafted Features and Vision Transformer -- The impact of Artificial Intelligence on Healthcare : A Comprehensive Review -- Optimal location of high/low voltage transformer stations by K-Means method and scheduling of electric meters -- Intelligent Information Processing in CRM Through Big Data Analytics: A Systematic Literature Review -- A Review on Artificial Intelligence for Water Treatment by desalination Using Reverse Osmosis -- Introduction to Quantum-Resistant Cryptography in Payment Systems -- Advanced Sarcasm Detection in Arabic Text Integrating AraBERT with Sequential RNN Layers -- Virtual Resource Optimization using Artificial Intelligence in Hyperconverged Environment -- Gene Selection for Cancer Classification Using Minimal Dominant Independent Set -- Quantum Assisted Hyperparameter Tuning Challenge for Financial Fraud Detection -- Ara-DAQUAR Into Arabic Question Answering on real world images -- Optimizing Energy Management in Smart Environments A Review of Strategies, Challenges, and Future Directions -- Research, ethics and artificial intelligence challenges and opportunities -- Enhancing Scalability and Performance in Big Data Query Processing: A Multi Faceted Approach -- Predicting Employee Turnover with Explainable AI -- Multi machine learning models for blood donor prediction: A data analysis and visualization approach -- Predicting Customer Gender Based on E Commerce Activity Patterns -- A Survey on ZigBee Indoor Distance Measurement -- Arabic Handwritten Words Recognition and Classification using Autoencoder Deep Learning -- Revolutionizing Breast Cancer Detection with Cutting-Edge Convolutional Neural Networks -- Hybrid Deep Learning and Machine Learning Models for Early and Accurate Detection of Diabetic Retinopathy -- A Multi Layered Protection System for Enhancing Data Security in Cloud Computing Environments -- Blockchain Driven Health Security through Machine Learning Adoption -- Contextual Analysis of Big Data Analytics in Intelligent Transportation Frameworks -- The Impact of Artificial Intelligence in Scientific Research -- Artificial intelligence and leadership: trends and challenges of a relationship under construction -- Detection of Pneumonia using Deep Learning Algorithms: Yolo V5 and CNN on X Ray Images -- Preserving Privacy during BI to Cloud Migration An Automated Approach to Data Anonymization -- Opportunities offered by AI for urban planning -- Advancing Early Oral Cancer Detection with Image Processing and AI -- Enhancing Fraudulent Activity Detection in Credit Card Transactions with Adaptive Boosting and Voting -- A Gender Based Targeted Advertisement System -- Development of an Intelligent Health Prediction System for Comprehensive Human Body Analysis -- Real Time IoT Based Farm Monitoring and Decision Support System Using Random Forest Algorithm -- Design and Operational Insights of IoT-Integrated Hydroponics Systems Using Fog Computing for Sustainable Urban Agriculture -- Scoping Review of YOLO Applications in Emergency Vehicle Detection -- Enhancing Deep Learning Models for Date Palm Disease Classification through Advanced Attention Mechanisms -- Moroccan Dates in a Circle of Danger Due to Successive Oasis Fires -- Towards an architecture for an automated cryptocurrency algorithmic trading system -- Balancing Data Protection in The Age of Digitization -- Plant disease classification using deep learning and the hyperband strategy -- Ensemble learning based bitcoin daily price log return forecasting -- Data privacy in the light of Big Data -- Classifying ECG Signals using LSTM and RNN -- Innovative HR Technologies for the Modern Workforce. |
| Record Nr. | UNINA-9911001782403321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Massive MIMO for Future Wireless Communication Systems : Technology and Applications
| Massive MIMO for Future Wireless Communication Systems : Technology and Applications |
| Autore | Montlouis Webert |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2025 |
| Descrizione fisica | 1 online resource (483 pages) |
| Disciplina | 621.384 |
| Altri autori (Persone) | ImoizeAgbotiname Lucky |
| Soggetto topico |
MIMO systems
Wireless communication systems |
| ISBN |
9781394228331
1394228333 9781394228324 1394228325 9781394228317 1394228317 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover -- Title Page -- Copyright -- Contents -- About the Editors -- List of Contributors -- Preface -- Acknowledgments -- Chapter 1 Fundamentals of Wireless Communications: Massive MIMO Essentials for 6G and Beyond -- 1.1 Introduction -- 1.1.1 A Brief History of Wireless Communication -- 1.1.2 Key Highlights of the Chapter -- 1.1.3 Chapter Organization -- 1.2 Digital and Analog Sources -- 1.3 Deterministic and Random Waveforms -- 1.4 Propagation of Electromagnetic Waves -- 1.5 Information Measures -- 1.6 Channel and Information -- 1.7 Modulation and Demodulation -- 1.8 Massive MIMO -- 1.8.1 Motivation for Massive MIMO in 6G and Beyond -- 1.8.2 The Potential of Massive MIMO Technology -- 1.9 Security and Privacy of Wireless Systems -- 1.9.1 Identifying and Resolving Vulnerabilities and Threats in Wireless Systems -- 1.9.2 Security and Privacy Issues in Wireless Systems -- 1.9.2.1 Security Issues in Massive MIMO Systems -- 1.9.2.2 Probable Privacy Issues in Massive MIMO Systems -- 1.10 Conclusion -- References -- Chapter 2 Security and Privacy of Future Wireless Communication Systems |
| Record Nr. | UNINA-9911018950503321 |
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Montlouis Webert
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| Newark : , : John Wiley & Sons, Incorporated, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Unmanned aerial vehicle cellular communications / / edited by Agbotiname Lucky Imoize [and four others]
| Unmanned aerial vehicle cellular communications / / edited by Agbotiname Lucky Imoize [and four others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (346 pages) |
| Disciplina | 929.605 |
| Collana | Unmanned System Technologies |
| Soggetto topico | Cooperating objects (Computer systems) |
| ISBN | 3-031-08395-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- About the Editors -- 1 Historical Perspectives and Introduction to UAV Cellular Communications -- 1.1 Introduction to UAV Cellular Communications -- 1.2 Categories of UAV and Their Characteristics -- 1.3 Enabling UAV Communication and Network Technologies -- 1.3.1 Communication Modules -- 1.3.2 Antenna Design -- 1.3.3 Resource Management Forums -- 1.3.4 Networking Technologies for UAV Transmission Model -- 1.3.5 UAV-Assisted Wireless Sensor Networks and UAV-Assisted Vehicular Transmission Model -- 1.4 Artificial Intelligence Technologies for Future UAV Transmission Model -- 1.4.1 UAV Features -- 1.4.2 Machine Learning and Artificial Intelligence -- 1.5 Cyber-Physical Security of UAV-Based Cellular Communications -- 1.5.1 CPS Security Vulnerabilities -- 1.5.2 CPS Security Threats -- 1.5.2.1 Cyber Threats -- 1.5.2.2 Physical Threats -- 1.6 Future Research Directions -- 1.6.1 Future UAV Networks -- 1.6.2 UAV Mobile Networks -- 1.6.3 UAV Books for the Future -- 1.7 Conclusion -- References -- 2 UAV Cellular Communication in 5G New Radio WirelessStandards -- 2.1 Introduction -- 2.2 Factors Influencing UAV Communication: Drawbacks -- 2.3 Literature Review -- 2.3.1 UAV System Functions and Requirements -- 2.3.2 UAV Communication Architecture -- 2.3.3 Consideration of Factors in UAV Communication System -- 2.4 Impact of 5G in UAV -- 2.5 Connections Linking the Different Nodal Points of the UAV-Based Communication System -- 2.6 UAV Structure Functionalities, Demands, and Services -- 2.7 Consequences of Spectrum Sharing -- 2.8 Artificial Intelligence (AI) Modeling UAV Communications -- 2.9 Infrastructure for 5G Experimentation -- 2.10 Infrastructure for the Mobile Core Network -- 2.11 Infrastructure for 5G Radio Access Networks -- 2.12 Numerical Simulation Results.
2.13 Interpretation of Numerical Results -- 2.14 Conclusion -- References -- 3 5G NR Massive MIMO for Efficient and Robust UAV Cellular Communications -- Acronym -- 3.1 Introduction -- 3.2 Massive MIMO -- 3.2.1 What Is Massive MIMO? -- 3.2.2 Spatial Multiplexing -- 3.2.3 Beamforming -- 3.2.4 Multiuser MIMO -- 3.2.5 Performance Factor -- 3.3 MIMO Architecture -- 3.3.1 5G Core Architecture -- 3.3.2 Channel Estimation -- 3.3.3 Beam Propagation -- 3.3.4 Uplink-Downlink Transformation -- 3.3.5 2 = 2 and 4 = 4 MIMO -- 3.4 Multiuser MIMO (MU-MIMO) -- 3.4.1 Energy and Spectral Efficiency -- 3.4.2 Favorable Propagation -- 3.4.3 Multicell Multiuser MIMO -- 3.4.4 MU-MIMO Benefits -- 3.5 Massive MIMO Challenges -- 3.5.1 Pilot Contamination -- 3.5.2 Unfavorable Propagation -- 3.5.3 Implementation Challenges -- 3.6 Future of 5G -- 3.7 Conclusion -- References -- 4 An Overview of Intelligent Reflecting Surface Assisted UAV Communication Systems -- 4.1 Introduction -- 4.2 Intelligent Reflecting Surfaces -- 4.2.1 System Model: Uplink Multiuser and Multi-IRS-Aided System -- 4.2.2 System Model: Downlink Multiuser and Multi-IRS-Aided System -- 4.3 UAV Communication System -- 4.4 IRS-UAV Communication -- 4.4.1 IRS-THz-UAV Communications -- 4.4.2 IRS-NOMA-UAV Communications -- 4.4.3 IRS-SWIPT-UAV Communications -- 4.4.4 IRS-PLS-UAV Communication -- 4.5 Challenges -- 4.5.1 Channel Model and Estimation -- 4.5.2 IRS Controlling -- 4.5.3 Trajectory and Beamforming Optimization -- 4.6 Case Study: IRS-UAV Communication -- 4.6.1 System Model -- 4.6.2 Simulated Results -- 4.7 Conclusion -- References -- 5 Artificial Intelligence Empowered Models for UAVCommunications -- 5.1 Introduction -- 5.2 Literature Review -- 5.2.1 Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Are Revolutionizing Wildlife Monitoring and Conservation. 5.2.2 Unmanned Aerial Vehicles in Agriculture -- 5.2.3 Fuzzy Logic Approach for Unmanned Aerial Vehicles -- 5.2.4 Machine Learning and UAV -- 5.2.5 Robotics and UAV -- 5.2.6 Prospects of the Development of Unmanned Aerial Vehicles (UAVs) -- 5.2.7 Smart Agricultural Irrigation Using Unmanned Aerial Vehicles -- 5.2.8 Internet of Things (IOT)-Enabled Unmanned Aerial Vehicles -- 5.3 Conclusion and Future Scope -- References -- 6 Reconfigurable Intelligent Surface (RIS)-Assisted UAV Cellular Communication -- 6.1 Introduction -- 6.2 Propagation Path Loss -- 6.2.1 Path Attenuation -- 6.2.2 Path Loss Due to Reflection -- 6.2.3 Path Loss Due to Diffraction -- 6.2.4 Channel Modeling -- 6.3 Propagation Models -- 6.3.1 Propagation Mechanism -- 6.3.2 Rural Area Propagation Model -- 6.3.3 Urban Area Propagation Model -- 6.3.4 Propagation Challenges -- 6.4 Channel Propagation Models -- 6.4.1 Basic MIMO Channel Propagation -- 6.4.2 Channel Model Requirement -- 6.4.3 Reconfigurable Intelligent Surface -- 6.4.4 RIS-Assisted Wireless Communication -- 6.4.5 Channel Propagation Problem -- 6.5 Applications -- 6.5.1 Extended Coverage -- 6.5.2 Increased Capacity -- 6.5.3 Massive Multiple Access -- 6.5.4 Spectrum Sharing -- 6.6 Conclusion -- Reference -- 7 Cell-Free Massive MIMO Architecture for UAV Cellular Communications -- Abbreviation -- 7.1 Introduction -- 7.2 Related Work -- 7.3 Cell-Free Massive MIMO -- 7.3.1 System Model of a Cell-Free Massive MIMO System -- 7.3.1.1 Uplink Pilot Training -- 7.3.1.2 Uplink Data Transmission -- 7.3.1.3 Downlink Pilot Training -- 7.3.1.4 Downlink Data Transmission -- 7.4 UAV Characteristics -- 7.5 UAV-Assisted Cell-Free Massive MIMO Network -- 7.5.1 System Model of UAV-Assisted Cell-Free Massive MIMO Network -- 7.5.2 Propagation Model -- 7.5.3 Uplink Channel Estimation -- 7.5.4 The Communication Process -- 7.5.4.1 Uplink Training. 7.5.4.2 Uplink Data Transmission -- 7.5.4.3 Downlink Data Transmission -- 7.5.5 Performance Analysis -- 7.5.5.1 Downlink Data Transmission: Lower and Upper SE Bounds -- 7.5.5.2 Uplink Data Transmission: Lower and Upper SE Bounds -- 7.6 Numerical Results and Discussion -- 7.7 Conclusion -- 7.7.1 Scope for Future Works -- References -- 8 Unmanned Aerial Vehicle-Assisted Reconfigurable Intelligent Surface for Energy Efficient and ReliableCommunication -- 8.1 Introduction -- 8.1.1 Motivation -- 8.1.2 Multiple-Input Multiple-Output (MIMO) -- 8.1.3 Multiuser MIMO -- 8.1.4 Massive MIMO -- 8.1.5 Spatial Modulation -- 8.2 Reconfigurable Intelligent Surfaces (RIS) -- 8.2.1 UAV-Assisted RIS -- 8.3 The Proposed UAV-Assisted RIS Schemes -- 8.3.1 Intelligent UAV-Assisted RIS Scheme -- 8.3.2 Blind UAV-Assisted RIS Scheme -- 8.4 Simulation Results and Discussions -- 8.5 Conclusion -- 8.5.1 Scope for Future Works -- References -- 9 Blockchain Technology Enabling UAV Cellular Communications -- 9.1 Introduction -- 9.2 Blockchain for Securing UAV Cellular Communications -- 9.2.1 UAV -- 9.2.2 Blockchain Technology -- 9.2.3 Blockchain Types -- 9.2.4 Blockchain Characteristics -- 9.2.5 Reference Model of Blockchain Architecture -- 9.3 Current Blockchain Solutions for Securing UAV Cellular Communication -- 9.4 Relevance and Roles of Blockchain in Securing UAV Cellular Communication -- 9.5 Blockchain-Based UAV Services -- 9.6 Challenges in UAV Networks -- 9.7 Future Research Directions in UAV -- 9.8 Conclusion -- References -- 10 Unmanned Aerial Vehicle Cellular Communication Operating in Non-terrestrial Networks -- 10.1 Introduction -- 10.2 Literature Review -- 10.2.1 Review of Related Work -- 10.2.2 History of Unmanned Aerial Vehicles -- 10.3 Materials and Method -- 10.3.1 Channel Model -- 10.3.2 Requirements for Unmanned Aerial Vehicle Communication. 10.3.2.1 Authentication and Authorization in UAV Communication -- 10.3.3 Signal Reception in Unmanned Aerial Vehicles -- 10.3.4 Non-Terrestrial Network Model -- 10.3.5 Non-terrestrial Network Channel Model -- 10.3.6 5G New Radio (5G NR) Support for Unmanned Aerial Vehicles -- 10.3.7 Multiple Antennas for Unmanned Aerial Vehicle Communication -- 10.3.7.1 Vertical Antenna Design -- 10.3.8 Capacity Analysis of Multiple Antenna Systems for Unmanned Aerial Vehicles -- 10.3.9 Bit Error Rate (BER) in Non-terrestrial Networks -- 10.4 Results and Discussion -- 10.5 Conclusion -- References -- 11 Design and Performance Issues in UAV Cellular Communications -- 11.1 Introduction -- 11.1.1 Background on Unmanned Aerial Vehicle (UAV) -- 11.1.2 Wireless Technology Options for UAV Communication -- 11.1.3 Brief Description of Cellular Communication System -- 11.1.4 Cellular Communication Option for UAV -- 11.1.5 Chapter Contribution and Outline -- 11.2 Literature Review -- 11.2.1 UAVs in Cellular Communication System -- 11.2.1.1 UAV-Connected Cellular Communication -- 11.2.1.2 UAV-Assisted Cellular Communication -- 11.2.2 UAV Communication Requirements -- 11.2.3 UAV Link Types and Characteristics -- 11.2.4 UAV Communication Channel Model -- 11.2.4.1 Analysis of UAV Channel Model -- 11.2.4.2 Altitude/Angle-Dependent Channel Model -- 11.2.4.3 LoS Probability-Based Channel Models -- 11.2.5 Traditional Versus Next-Generation Cellular UAV Deployment -- 11.2.6 Unique Considerations in UAV Communication System Design -- 11.2.6.1 LoS Condition at High Altitude -- 11.2.6.2 UAV Three-Dimensional Operational Space -- 11.2.6.3 UAV-Ground Interference -- 11.2.6.4 Asymmetric Traffic Dimension (DL/UP) -- 11.2.6.5 High UAV Mobility -- 11.3 Design and Performance Issues in Cellular UAV Communication System -- 11.3.1 Design Standards and Regulations for UAV Communication. 11.3.2 UAV Design and Performance Challenges. |
| Record Nr. | UNINA-9910627237703321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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