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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 solutionFeatures the enabling technologies of future networks and how network slicing will play a rolePresents the role of machine learning and data analytics for future cellular networks along with summarizing the machine learning approaches for 5G and beyond networks

Inhaltsverzeichnis

Frontmatter

Chapter 1. 5G Networks

Abstract
Recent advances in wireless communication has enabled us in improving our daily life tasks. Over the recent two decades, wireless communication especially the cellular networks have developed at an exceptionally quick pace to have a productive and completely digital future. In this chapter, we briefly discuss about the evolution of the cellular networks, and the enabling technologies that will support in realizing the fifth generation cellular networks. Moreover, this chapter also discusses about the goals and challenges of the fifth generation networks.
S. M. Ahsan Kazmi, Latif U. Khan, Nguyen H. Tran, Choong Seon Hong

Chapter 2. Network Slicing: The Concept

Abstract
5G networks are envisioned to support three types of services such as mMTC, URRLC, and eMBB. Each of these use cases has diverse network requirements. To enable these diverse use cases, network slicing is a promising candidate. In this chapter, we discuss about the concept of network slicing. Moreover, slicing principles are also explained. Finally, the key enabling technologies to support network slicing in 5G networks are also discussed.
S. M. Ahsan Kazmi, Latif U. Khan, Nguyen H. Tran, Choong Seon Hong

Chapter 3. Resource Management for Network Slicing

Abstract
Radio resource management is categorized among the biggest challenges for the 5G networks due to the proliferation of heterogeneous devices. Moreover, the introduction of 5G verticals and the need to fulfill heterogeneous stringent requirements based on novel applications further complicates the radio resource management process. Network slicing can be considered as a promising scheme to meet these heterogeneous requirements produced by various 5G verticals. In network slicing, the physical resources (radio access network resources, i.e., subcarrier power, spectrum, infrastructure, etc.) are sliced into multiple logical networks based on the application requirements. In this chapter, first, we discuss about the radio access network resources. Then, we briefly elaborate on network slicing and its challenges for achieving efficient resource management. Moreover, we aim to expose the readers to the resource management approaches that can support us to build efficient network slices for 5G verticals. Finally, we provide a use case for vertical industries pertaining to the resource management in virtual reality.
S. M. Ahsan Kazmi, Latif U. Khan, Nguyen H. Tran, Choong Seon Hong

Chapter 4. Network Slicing: Radio Resource Allocation

Abstract
Radio resource allocation has always been considered to be a challenging task in the cellular networks due to limited spectrum. This becomes even more challenging as fifth generation (5G) cellular networks have an even higher expectation in terms of facilitating end users with higher data rate and lower end-to-end latency. One promising technology that can support to deliver is wireless network virtualization (WNV). In this chapter, we discuss about the vital challenges of WNV, a number of solution approaches, and their benefits for different WNV scenarios. First, we discuss about the resource allocation problem in which one InP allocates their resources to different MVNO users. Second, we discuss about resource allocation approach in a multiple InP environment. Moreover, these approaches consider spectrum resources as the OFDMA-based sub-channels.
S. M. Ahsan Kazmi, Latif U. Khan, Nguyen H. Tran, Choong Seon Hong

Chapter 5. Network Slicing: Radio Resource Allocation Using Non-orthogonal Multiple Access

Abstract
Radio resource allocation has always been considered to be a challenging task in the cellular networks due to limited spectrum. Moreover, however, the unprecedented growth in data traffic and the tsunami of mobile devices in the existing networks demands to consider spectrum efficiency and massive connectivity in 5G networks. Recently, a new promising technology has been under consideration for solving the challenges of orthogonal multiple access-based schemes. Non-orthogonal multiple access (NOMA) has been viewed as a key enabler for catering the inconveniences of OFDMA scheme in 5G networks. In this chapter, we discuss about the vital challenges of resource management pertaining to network slicing using the NOMA-based scheme. Finally, we present an efficient solution for resource management in network slicing for NOMA-based scheme.
S. M. Ahsan Kazmi, Latif U. Khan, Nguyen H. Tran, Choong Seon Hong

Chapter 6. Network Slicing: Cache and Backhaul Resource Allocation

Abstract
Traditionally in cellular networks radio resources were only considered as a performance bottleneck. Therefore, a number of solutions were devised to only cater the radio resource allocation challenge. A similar trend has been followed for deriving solutions for network slicing as well in which only radio resources were sliced. However, the proliferation of end users and novel applications have also imposed limitations on other network resources such as backhaul and cache spaces. In this chapter, we would discuss two novel solutions which consider these resources along with the radio resources to build networking slices.
S. M. Ahsan Kazmi, Latif U. Khan, Nguyen H. Tran, Choong Seon Hong

Chapter 7. Network Slicing: Dynamic Isolation Provisioning and Energy Efficiency

Abstract
In this chapter, we discuss about a novel resource allocation approach in which network’s energy efficiency is maximized while providing the isolation of slicing. To address this problem, a hierarchical framework is proposed with three participants, i.e., cellular users, MVNOs, and InPs. The goal of this work is to jointly maximize the revenues of both MVNOs and InPs while satisfying the service level agreements among MVNOs/InPs.
S. M. Ahsan Kazmi, Latif U. Khan, Nguyen H. Tran, Choong Seon Hong

Chapter 8. Concluding Remarks

Abstract
This chapter concludes our book by summarizing the key insights on network slicing and 5G networks. This book will provide a comprehensive guide to the emerging field of network slicing and its importance to bring novel 5G applications into fruition. It discusses the current trends, novel enabling technologies, and current challenges imposed on the cellular networks. Then, we discuss about the concept of network slicing, the enabling technologies which can be applied in 5G networks to meet the stringent requirements posed by the end user devices. Resource management aspects of network slicing are also discussed by summarizing the recent research works. Finally, we also present use cases of network slicing and applications for vertical industries.
S. M. Ahsan Kazmi, Latif U. Khan, Nguyen H. Tran, Choong Seon Hong

Backmatter

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