5G Networks: Planning, Design and Optimization presents practical methods and algorithms for the design of 5G Networks, covering issues ranging from network resilience to how Big Data analytics can used in network design optimization. The book addresses 5G optimization issues that are data driven, high dimensional and clustered. The reader will learn: 5G concepts, how they are linked and their effect on the architecture of a 5G networkModels of 5G at a network level, including economic aspects of operating a networkThe economic implications of scale and service diversity, and the incentive for optimal design and operational strategiesNetwork topologies from a transport to a cloud perspectiveTheoretic foundations for network design and network optimizationAlgorithms for practical design and optimization of 5G subsystems based on live network projectsEfficient Bayesian methods for network analyticsThe trade-off and multi-objective character of QoS management and cost savingPractical traffic and resilience measurement and QoS supervisionFrameworks for performance analytics and network control This book will be an invaluable resource for telecom operators and service providers, university researchers, graduate students and network planners interested in practical methods for optimizing networks for large performance improvements and cost savings. Christofer Larsson works as an independent researcher and consultant in network design traffic engineering, network performance evaluation and optimization.5G concepts, how they are linked and their effect on the architecture of a 5G networkModels of 5G at a network level, including economic aspects of operating a networkThe economic implications of scale and service diversity, and the incentive for optimal design and operational strategiesNetwork topologies from a transport to a cloud perspectiveTheoretic foundations for network design and network optimizationAlgorithms for practical design and optimization of 5G subsystems based on live network projectsEfficient Bayesian methods for network analyticsThe trade-off and multi-objective character of QoS management and cost savingPractical traffic and resilience measurement and QoS supervisionFrameworks for performance analytics and network control
