5G/5G Advanced Networks: Planning, Design and Optimization, 2nd edition, presents practical methods and algorithms for the design of 5G/5G Advanced Networks, covering topics that range from network resilience to how streaming data analytics can be used in network orchestration and slice optimization. The book addresses 5G optimization issues that are data driven, high dimensional and clustered The new edition is extensively revised and updated with 5 new chapters: - Information theory applied to design targets and performance limits - 5G+radio interface and radio planning - Heavy traffic analysis - Network slicing - Machine learning methods for offline analytics This new edition now gives a broad and complete foundation in network optimization techniques for all subsystems of the cellular network by: - Showing how to optimize networks end-to-end, including dependencies between subsystems - Presenting network tuning methods to improve capacity, service quality, energy efficiency, and resilience – in relation to cost - Presenting designs of network slices with multi-objective performance targets The new edition also includes new practical hints sections that show algorithm implementation (end-to-end and unit testing), solution validation, bench-marking, potential pitfalls, the use of open-source software, illustration of code objects with examples in Python. 5G/5G Advanced Networks: Planning, Design and Optimization, 2nd edition, is 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.
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Christofer Larsson, an Engineering Physics graduate of the Royal Institute of Technology in Stockholm, Sweden, is a consultant in network design and optimization, and a textbook author. Taking a strong interest in engineering mathematics, Christofer has during three decades in IT and telecommunications participated in the design and implementation of several successful innovative network solutions. Christofer has held positions as system designer, software architect, tester, trainer, technical writer, and manager. After a decade with Ericsson, he has been a consulting partner with system vendors, network operators and software providers, including Ericsson, NSN, Siemens, Deutsche Telekom, Vodafone-Hutchinson, and Orange
5G/5G Advanced Networks: Planning, Design and Optimization, 2nd edition, presents practical methods and algorithms for the design of 5G/5G Advanced Networks, covering topics that range from network resilience to how streaming data analytics can be used in network orchestration and slice optimization. The book addresses 5G optimization issues that are data driven, high dimensional and clustered The new edition is extensively revised and updated with 5 new chapters: - Information theory applied to design targets and performance limits - 5G+radio interface and radio planning - Heavy traffic analysis - Network slicing - Machine learning methods for offline analytics This new edition now gives a broad and complete foundation in network optimization techniques for all subsystems of the cellular network by: - Showing how to optimize networks end-to-end, including dependencies between subsystems - Presenting network tuning methods to improve capacity, service quality, energy efficiency, and resilience – in relation to cost - Presenting designs of network slices with multi-objective performance targets The new edition also includes new practical hints sections that show algorithm implementation (end-to-end and unit testing), solution validation, bench-marking, potential pitfalls, the use of open-source software, illustration of code objects with examples in Python. 5G/5G Advanced Networks: Planning, Design and Optimization, 2nd edition, is 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.
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