5G Networks: Planning, Design and Optimization presents practical methods and algorithms for the design of 5G Networks. It covers issues ranging from network resilience, to how Big Data analytics can be used in network design optimization. The book addresses 5G optimization issues that are data driven, high dimensional and clustered. Readers will learn about 5G concepts and how they are linked and affect the operation of a 5G network, the network topology from a transport and cloud perspective, the large economic effects of scale and service diversity, the multi-objective character of enforcing QoS, and algorithms for network design and network optimization.
In addition, methods for performance analytics and network control, and planning, design and optimization sections will be an invaluable resource for telecom operators, service providers, university researchers, graduate students and planning consultants who need practical methods for optimizing a network that has the potential to make large cost savings.
- Describes 5G at a network level, including the economic aspects of its operation
- Includes algorithms for practical design, along with optimization problems related to 5G that are based on trial projects
- Presents efficient Bayesian methods for network analytics
- Covers traffic measurement, QoS supervision and SLA enforcement
1. Concepts and Architectures in 5G 2. Clustering Techniques 3. Facility Location and Assignment 4. Network Access 5. Resilience and Optimal Routing 6. Datacenters and Clouds 7. Self-Similar and Long-Range Dependent Traffic 8. Analytics and Big Data in 5G 9. Network and Service Control 10. Network Slicing
Christofer Larsson is a consultant in network design and traffic engineering, having worked for Ericsson for a decade. He holds an MSc in Engineering Physics from the Royal Institute of Technology, Stockholm, Sweden.