| Document Type
|
:
|
BL
|
| Record Number
|
:
|
861523
|
| Main Entry
|
:
|
Kazmi, S. M. Ahsan
|
| Title & Author
|
:
|
Network slicing for 5G and beyond networks /\ S.M. Ahsan Kazmi, Latif U. Khan, Nguyen H. Tran and Choong Seon Hong.
|
| Publication Statement
|
:
|
Cham :: Springer,, 2019.
|
| Page. NO
|
:
|
1 online resource
|
| ISBN
|
:
|
3030161692
|
|
|
:
|
: 3030161706
|
|
|
:
|
: 3030161714
|
|
|
:
|
: 3030161722
|
|
|
:
|
: 9783030161699
|
|
|
:
|
: 9783030161705
|
|
|
:
|
: 9783030161712
|
|
|
:
|
: 9783030161729
|
|
|
:
|
9783030161699
|
| Contents
|
:
|
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
|
|
|
:
|
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
|
|
|
:
|
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
|
| Abstract
|
:
|
This book provides a comprehensive guide to the emerging field of network slicing and its importance to bringing novel 5G applications into fruition. The authors discuss the current trends, novel enabling technologies, and current challenges imposed on the cellular networks. Resource management aspects of network slicing are also discussed by summarizing and comparing traditional game theoretic and optimization based solutions. Finally, the book presents some use cases of network slicing and applications for vertical industries. Topics include 5G deliverables, Radio Access Network (RAN) resources, and Core Network (CN) resources. Discusses the 5G network requirements and the challenges therein and how network slicing offers a solution Features the enabling technologies of future networks and how network slicing will play a role Presents the role of machine learning and data analytics for future cellular networks along with summarizing the machine learning approaches for 5G and beyond networks.
|
| Subject
|
:
|
Cell phone systems.
|
| Subject
|
:
|
Wireless communication systems-- Security measures.
|
| Subject
|
:
|
Cell phone systems.
|
| Subject
|
:
|
TECHNOLOGY ENGINEERING-- Mechanical.
|
| Subject
|
:
|
Wireless communication systems-- Security measures.
|
| Dewey Classification
|
:
|
621.382
|
| LC Classification
|
:
|
TK5103.2
|
| Added Entry
|
:
|
Hong, Choong Seon
|
|
|
:
|
Khan, Latif U.
|
|
|
:
|
Tran, Nguyen H.
|