Book Image

Mastering 5G Network Design, Implementation, and Operations

By : Shyam Varan Nath, Ananya Simlai, Oğuzhan Kara
5 (1)
Book Image

Mastering 5G Network Design, Implementation, and Operations

5 (1)
By: Shyam Varan Nath, Ananya Simlai, Oğuzhan Kara

Overview of this book

We are living in an era where ultra-fast internet speed is not a want, but a necessity. As applications continue to evolve, they demand a reliable network with low latency and high speed. With the widespread commercial adoption of driverless cars, robotic factory floors, and AR/VR-based immersive sporting events, speed and reliability are becoming more crucial than ever before. Fortunately, the power of 5G technology enables all this and much more. This book helps you understand the fundamental building blocks that enable 5G technology. You’ll explore the unique aspects that make 5G capable of meeting high-quality demands, including technologies that back 5G, enhancements in the air interface, and packet core, which come together to create a network with unparalleled performance. As you advance, you’ll discover how to design and implement both 5G macro and private networks, while also learning about the various design and deployment options available and which option is best suited for specific use cases. After that, you’ll check out the operational and maintenance aspects of such networks and how 5G works together with fixed wireline and satellite technologies. By the end of this book, you’ll understand the theoretical and practical aspects of 5G, enabling you to use it as a handbook to establish a 5G network.
Table of Contents (23 chapters)
1
Part 1:Introduction to 5G
Free Chapter
2
Chapter 1: Introduction to 5G
10
Part 2:5G Network Design, Deployment Models, and Advanced Use Cases

Monetization via AI and ML

AI and ML are no longer buzzwords. They have very much become a reality in modern networks. A telecom network is a treasure trove of important information that can be mined and analyzed to further improve business opportunities and the network itself.

Patterns in user behavior can be mined and analyzed to suggest better mobile usage plans for them. They can be used to provide meaningful insights to the user. For example, if the user is in a mall, there could be a recommendation of ongoing discounts or the latest offers in the food courts and restaurants that the user can benefit from. Such recommendations would improve the quality of experience of the user and thus also improve their loyalty to the service provider.

Similarly, if a user regularly downloads a large amount of data every day, then there could be a recommendation for a plan that would allow a large data download at discounted rates. This would again result in savings on the side of the...