Artificial intelligence for 6G / / Haesik Kim

• Autore: Kim Haesik
• Pubblicazione: Cham, Switzerland : , : Springer International Publishing, , [2022]; ©2022
• Descrizione fisica: 1 online resource (534 pages)
• Disciplina: 621.384
• Soggetto topico: Wireless communication systems - Design and construction; Wireless communication systems - Economic aspects
• Nota di contenuto: Intro -- Preface -- Contents -- Abbreviations -- Part I Artificial Intelligence Techniques -- 1 Historical Sketch of Artificial Intelligence -- 1.1 Introduction to Artificial Intelligence -- 1.2 History of Artificial Intelligence -- References -- 2 Artificial Intelligence Ecosystem, Techniques, and Use Cases -- 2.1 Artificial Intelligence Ecosystem -- 2.2 Hardware and Software of Artificial Intelligence -- 2.3 Artificial Intelligence Techniques and Selection -- 2.4 Artificial Intelligence Workflow and Use Cases -- References -- 3 Unsupervised Learning -- 3.1 Types and Performance Metrics of Unsupervised Learning -- 3.2 Clustering Algorithms -- 3.2.1 Hierarchical Clustering -- 3.2.2 Partitional Clustering -- 3.3 Association Rule Mining -- 3.4 Dimensionality Reduction -- 3.5 Problems -- References -- 4 Supervised Learning -- 4.1 Supervised Learning Workflow, Metrics, and Ensemble Methods -- 4.2 Classification of Supervised Learning -- 4.2.1 Decision Tree -- 4.2.2 K-Nearest Neighbours -- 4.2.3 Support Vector Machine -- 4.3 Regression of Supervised Learning -- 4.3.1 Linear Regression -- 4.3.2 Gradient Descent Algorithms -- 4.3.3 Logistic Regression -- 4.4 Problems -- References -- 5 Reinforcement Learning -- 5.1 Introduction to Reinforcement Learning and Markov Decision Process -- 5.2 Model-Based Approaches -- 5.2.1 Policy Iteration -- 5.2.2 Value Iteration -- 5.3 Model-Free Approaches -- 5.3.1 Monte Carlo Methods -- 5.3.2 Temporal difference learning methods -- 5.4 Problems -- References -- 6 Deep Learning -- 6.1 Introduction to Deep Learning -- 6.2 Deep Neural Network -- 6.3 Convolutional Neural Network -- 6.4 Recurrent Neural Network -- 6.5 Problems -- References -- Part II AI-Enabled Communications and Networks Techniques for 6G -- 7 6G Wireless Communications and Networks Systems -- 7.1 6G Wireless Communications and Networks. ; 7.1.1 6G Use Cases and Requirements -- 7.1.2 6G Timeline, Technical Requirements, and Technical Challenges -- 7.1.3 6G Key Enabling Techniques -- 7.2 AI-Enabled 6G Wireless Communications and Networks -- 7.2.1 AI and ML Contributions to Physical Layers -- 7.2.2 AI and ML Contribution to Data Link and Network Layers and Open Research Challenges -- 7.3 Problems -- References -- 8 AI-Enabled Physical Layer -- 8.1 Design Approaches of AI-Enabled Physical Layer -- 8.2 End-To-End Physical Layer Redesign with Autoencoder -- 8.3 Wireless Channel Models -- 8.4 Signal Detection and Modulation -- 8.5 Channel Estimation -- 8.6 Error Control Coding -- 8.7 MIMO -- 8.8 Problems -- References -- 9 AI-Enabled Data Link Layer -- 9.1 Design Approaches of AI-Enabled Data Link Layer -- 9.2 Radio Resource Allocation and Scheduling -- 9.2.1 Resource Allocation Problems in Wireless Networks and Convex Optimization -- 9.2.2 Resource Allocation Models and Performance Measure -- 9.2.3 Utility Functions and Fairness of Resource Allocation -- 9.2.4 Resource Allocation Using AI Techniques -- 9.3 Handover Using AI Techniques -- 9.4 Problems -- References -- 10 AI-Enabled Network Layer -- 10.1 Design Approaches of AI-Enabled Network Layer -- 10.2 Cellular Systems and Networking -- 10.2.1 Evolution of Cellular Networks -- 10.2.2 Concept of Cellular Systems -- 10.2.3 Cell Planning -- 10.3 Network Traffic Prediction -- 10.3.1 Classic Network Traffic Prediction -- 10.3.2 AI-Enabled Network Traffic Prediction -- 10.4 Problems -- References -- Index.
• Titolo autorizzato: Artificial Intelligence For 6G
• ISBN: 9783030950415; 9783030950408
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910558492703321
• Lo trovi qui: Univ. Federico II