bination with user profile and behavior statistics. Creating a dynamic model to analyze the resulting big data requires artificial intelligence/machine learning techniques that will pave the way for migration 5G Network Architecture 3 from today's process-based analytics toward predictive, descriptive, and ultimately cogni- tive analytics required for self-organizing, self-optimizing, and self-healing networks. 3GPP has been working on the standardization of 5G access and core networks since 2015 with a goal of large-scale commercialization in 2020 + 3GPP system architecture group finalized the first study items in December 2016 and published the 3GPP TR 23.799 specification as an outcome of the study. The normative specifications of the 5G network architecture and services have been published in numerous 3GPP standards docu- ments [6]. In this chapter we discuss 5G network architecture design principles from 3GPP perspec- tive and the innovative solutions that have formed the foundation of the 5G networks. We will further study the access/core network entities, interfaces, and protocols as well as the quality of service (QoS), security, mobility, and power management in 5G networks. 1.1 Design Principles and Prominent Network Topologies The 5G system supports a service-based architecture and interfaces with modularized network services, enabling flexible, customizable, and independently deployable net- works. Network service providers can leverage 5G service-oriented architecture to man- age and customize the network capabilities by dynamically discovering, adding, and updating network services while preserving performance and compatibility with the existing deployments. 5GC and ANs were required to be functionally decoupled to cre- ate a radio technology agnostic architecture in order to realize the 5G performance tar- gets for different usage scenarios. As an example, reduction in network transport latency requires placement of computing and storage resources at the edge of the network to enhance service quali