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Intro; Preface; Acknowledgement; Contents; 1 5G Networks; 1.1 Introduction; 1.1.1 Evolution of Cellular Systems; 1.1.2 Heterogeneous Networks; 1.1.3 Device-to-Device Communication; 1.1.4 LTE-Unlicensed; 1.1.5 Non-orthogonal Multiple Access (NOMA); 1.1.6 Wireless Network Virtualization; 1.2 5G Deliverable; 1.3 Industrial Efforts for 5G Networks; 1.4 Challenges to Realize 5G Networks; 1.4.1 Scalability and Reliability; 1.4.2 Interoperability; 1.4.3 Sustainability; 1.4.4 Network Slicing; 1.4.5 Security; References; 2 Network Slicing: The Concept; 2.1 Network Slicing: Concept and Definitions
2.2 Network Slicing Principles2.2.1 Slice Isolation; 2.2.2 Elasticity; 2.2.3 End-to-End Customization; 2.3 Network Slicing Enablers; 2.3.1 Software Defined Networking; 2.3.2 Network Function Virtualization; 2.3.3 Cloud Computing; Cloud Deployment Models; Requirements for Cloud Computing in 5G; 2.3.4 Edge Computing; 2.4 Summary; References; 3 Resource Management for Network Slicing; 3.1 Motivation and Introduction; 3.1.1 Radio Access Network Resource Management; 3.1.2 Network Slicing; 3.2 RAN Resources; 3.2.1 Radio Resources; 3.2.2 Caching; 3.2.3 Edge Computing Servers
3.3 Use Case: Virtual Reality (VR)3.3.1 System Model; 3.3.2 Problem Formulation; 3.3.3 ADMM-Based Solution; 3.3.4 Performance Analysis; 3.4 Summary; References; 4 Network Slicing: Radio Resource Allocation; 4.1 Radio Resource Allocation with Single InP; 4.1.1 System Model; 4.1.2 Problem Formulation; 4.1.3 Solution; Matching Game: Prerequisites; Matching Game: Preference Profile; Matching Game: VR Allocation Scheme; 4.1.4 Simulation Setup and Results; 4.2 Radio Resource Allocation with Multi-InP; 4.2.1 System Model; 4.2.2 Problem Formulation; 4.2.3 Solution
Hierarchical Matching (HM) Game Algorithm4.2.4 Performance Analysis; 4.3 Summary; References; 5 Network Slicing: Radio Resource Allocation Using Non-orthogonal Multiple Access; 5.1 Introduction; 5.2 System Model and Problem Formulation; 5.2.1 Problem Formulation; 5.3 Solution Approach; 5.3.1 Matching Game for User Clustering (NOMA Clustering); Users Classification; Matching Game with Externalities for User Clustering; Clustering Algorithm; 5.3.2 Resource Allocation; 5.3.3 Power Assignment; Arithmetic-Geometric Mean Approximation; Centralized SCA-Based Power Assignment with AGM Approximation
5.3.4 Joint User Clustering and Resource Allocation in NOMA: JUCRAN5.4 Simulation Results; 5.4.1 Simulation Setting; 5.4.2 Numerical Results; 5.5 Summary; References; 6 Network Slicing: Cache and Backhaul Resource Allocation; 6.1 Introduction; 6.2 Network Slicing with Backhaul Constraints; 6.2.1 System Model; Problem Formulation; 6.2.2 Solution Approach: Joint Slice and Power Allocation; Matching-Based Low-Complexity Algorithm; 6.2.3 Simulation Results; 6.3 Network Slicing with Backhaul and Cache Allocation; 6.3.1 System Model; Cache Slicing; BS-Bandwidth Slicing; Backhaul Capacity Slicing
2.2 Network Slicing Principles2.2.1 Slice Isolation; 2.2.2 Elasticity; 2.2.3 End-to-End Customization; 2.3 Network Slicing Enablers; 2.3.1 Software Defined Networking; 2.3.2 Network Function Virtualization; 2.3.3 Cloud Computing; Cloud Deployment Models; Requirements for Cloud Computing in 5G; 2.3.4 Edge Computing; 2.4 Summary; References; 3 Resource Management for Network Slicing; 3.1 Motivation and Introduction; 3.1.1 Radio Access Network Resource Management; 3.1.2 Network Slicing; 3.2 RAN Resources; 3.2.1 Radio Resources; 3.2.2 Caching; 3.2.3 Edge Computing Servers
3.3 Use Case: Virtual Reality (VR)3.3.1 System Model; 3.3.2 Problem Formulation; 3.3.3 ADMM-Based Solution; 3.3.4 Performance Analysis; 3.4 Summary; References; 4 Network Slicing: Radio Resource Allocation; 4.1 Radio Resource Allocation with Single InP; 4.1.1 System Model; 4.1.2 Problem Formulation; 4.1.3 Solution; Matching Game: Prerequisites; Matching Game: Preference Profile; Matching Game: VR Allocation Scheme; 4.1.4 Simulation Setup and Results; 4.2 Radio Resource Allocation with Multi-InP; 4.2.1 System Model; 4.2.2 Problem Formulation; 4.2.3 Solution
Hierarchical Matching (HM) Game Algorithm4.2.4 Performance Analysis; 4.3 Summary; References; 5 Network Slicing: Radio Resource Allocation Using Non-orthogonal Multiple Access; 5.1 Introduction; 5.2 System Model and Problem Formulation; 5.2.1 Problem Formulation; 5.3 Solution Approach; 5.3.1 Matching Game for User Clustering (NOMA Clustering); Users Classification; Matching Game with Externalities for User Clustering; Clustering Algorithm; 5.3.2 Resource Allocation; 5.3.3 Power Assignment; Arithmetic-Geometric Mean Approximation; Centralized SCA-Based Power Assignment with AGM Approximation
5.3.4 Joint User Clustering and Resource Allocation in NOMA: JUCRAN5.4 Simulation Results; 5.4.1 Simulation Setting; 5.4.2 Numerical Results; 5.5 Summary; References; 6 Network Slicing: Cache and Backhaul Resource Allocation; 6.1 Introduction; 6.2 Network Slicing with Backhaul Constraints; 6.2.1 System Model; Problem Formulation; 6.2.2 Solution Approach: Joint Slice and Power Allocation; Matching-Based Low-Complexity Algorithm; 6.2.3 Simulation Results; 6.3 Network Slicing with Backhaul and Cache Allocation; 6.3.1 System Model; Cache Slicing; BS-Bandwidth Slicing; Backhaul Capacity Slicing