Contents


Preface

The rollout of Long Term Evolution-Advanced (LTE-A) as the fourth generation of mobile communications brought mobile systems to unprecedented throughput of more than 600 Mbps. Therefore, the fifth-generation (5G) of mobile communications had to go beyond the objective of the realization of more transmission capacity. Indeed, 5G targeted the fulfillment of the communications requirements of different vertical application fields. The realized performance covers three-dimensional space, namely, (1) enhanced mobile broadband (eMBB) for bandwidth-hungry applications such augmented reality/virtual reality (AR/VR); (2) ultra-reliable low-latency communication (URLLC) for use cases with high sensitivity to delay like in vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2I) applications; and (3) massive Internet-of-Things (IoT). To achieve high performance, 5G relies on several enhanced technologies, which have already shown their potential with LTE-A (4G) and LTE-A Pro (4.5), such as multi-input multi-output (MIMO), spectrum flexibility, higher spectral efficiency, machineto-machine communication/ machine-type communications (M2M / MTC), and so on. Furthermore, 5G exploits the advantages of softwarization techniques using fog computing, cloud computing, artificial intelligence (AI), machine learning (ML), and more. This book discusses some of these softwarization techniques and some practical aspects from the 5G deployment scenarios. This book is a reference to mobile broadband networks as well as practical use cases of wireless broadband communications. Committed to bridging the gap between theory and practice, this book is also a concise guide for graduate students and readers interested in studying next-generation mobile networks (NGMN) and concepts/applications of mobile

Section 1, "System Realization and Enabling Technologies," presents different computing-based paradigms such as cloud computing and fog computing in the context of 5G. Chapter 1, "Trends in Cloud Computing Paradigms: Fundamental Issues, Recent Advances, and Research Directions toward 6G Fog Networks," presents a comprehensive review of these architectures and their associated concepts. The chapter also discusses beyond 5G (B5G/6G) perspectives. Chapter 2, "Low-Latency Strategies for Service Migration in Fog Computing Enabled Cellular Networks," presents the concepts of fog computing-enabled cellular networks (FeCN), in which computing, storage, and network functions are provisioned closer to the end-users, thus the latency on transport networks can be reduced significantly. In the context of FeCN, the high mobility feature of users brings critical challenges to maintain service continuity with stringent service requirements. Service migration, referred to as transmitting the associated services from the current fog server to the target one, has been regarded as a promising solution to fulfill service continuity during mobility. Chapter 3, "Artificial Intelligence and Machine Learning in 5G and beyond: A Survey and Perspectives," describes the role of AI and ML in 5G and beyond, to build cost-effective and adaptable performing, next-generation mobile networks. The chapter also presents some practical use cases of AI/ML in a network life cycle. The last chapter of this section, "A Brief Overview of CRC Implementation for 5G NR," gives an overview of the cyclic redundancy check

communications engineering.

(CRC) implementation in 5G New Radio (NR).
