AI for Design and Optimization of Cellular Networks

Informationen zum Autor Juan Ramiro-Moreno is Head of NDO Innovation for Managed Services Automation and AI at Ericsson. Juan is an Honorary Associate Professor with the Department of Communications Engineering at the University of Malaga. Rafia Inam is Sector Manager in Trustworthy AI, Artificial Intelligence Research at Ericsson. Rafia is also an Adjunct Professor with KTH Royal Institute of Technology. Wenfeng Hu is Senior Specialist in Managed Services Automation and AI at Ericsson. Jose Outes is a Strategic Product Manager at Ericsson Antenna System, previously at a research role with Ericsson in AI and Managed Services Automation. Klappentext Vital information on AI, ML, and 5G, and implementing these topics for cellular network design and optimization AI for Design and Optimization of Cellular Networks focuses on the intersection of cellular communications and AI, discussing current advances, key concepts, challenges, opportunities, and lifecycle management. Divided into two parts, the first part provides the background of AI and cellular communications, exploring the challenges that are associated with creation, deployment, operation, and maintenance of systems for the design and optimization of cellular networks. The second part explains the process of network planning, design, and optimization of cellular networks, including examples and use cases in each area. The second part also discusses the application of AI to energy saving, the challenges that operators face, and a glimpse of future trends for AI, cellular networks, and their related NDO (Network Design and Optimization) activities. The book also includes coverage of AI-powered design technologies, performance characterization of advanced antenna systems, propagation predictions, and more. With heavy contribution from industry professionals at Ericsson, AI for Design and Optimization of Cellular Networks includes detailed information on: Evolution of cellular communications from the early GSM days until today, with special emphasis on the arrival of 5G and its implications compared with LTESupervised, unsupervised, semi-supervised, and reinforcement learning with an intuitive focus, covering their distinctive characteristicsDifferent types of digital twins, their fundamental properties, their suitability for design and optimization of cellular networks, and using them together with AI techniquesTransition from traditional network performance management and operations towards an AI-driven combination of control loops An informed and timely exploration of key developments and challenges by those who work on the frontline, AI for Design and Optimization of Cellular Networks is an essential resource for professionals working in cellular communications and AI, providing a one-of-a-kind blend of practical and theoretical information....

Auteur

Juan Ramiro-Moreno is Head of NDO Innovation for Managed Services Automation and AI at Ericsson. Juan is an Honorary Associate Professor with the Department of Communications Engineering at the University of Malaga. Rafia Inam is Sector Manager in Trustworthy AI, Artificial Intelligence Research at Ericsson. Rafia is also an Adjunct Professor with KTH Royal Institute of Technology. Wenfeng Hu is Senior Specialist in Managed Services Automation and AI at Ericsson. Jose Outes is a Strategic Product Manager at Ericsson Antenna System, previously at a research role with Ericsson in AI and Managed Services Automation.

Texte du rabat

Vital information on AI, ML, and 5G, and implementing these topics for cellular network design and optimization AI for Design and Optimization of Cellular Networks focuses on the intersection of cellular communications and AI, discussing current advances, key concepts, challenges, opportunities, and lifecycle management. Divided into two parts, the first part provides the background of AI and cellular communications, exploring the challenges that are associated with creation, deployment, operation, and maintenance of systems for the design and optimization of cellular networks. The second part explains the process of network planning, design, and optimization of cellular networks, including examples and use cases in each area. The second part also discusses the application of AI to energy saving, the challenges that operators face, and a glimpse of future trends for AI, cellular networks, and their related NDO (Network Design and Optimization) activities. The book also includes coverage of AI-powered design technologies, performance characterization of advanced antenna systems, propagation predictions, and more. With heavy contribution from industry professionals at Ericsson, AI for Design and Optimization of Cellular Networks includes detailed information on: Evolution of cellular communications from the early GSM days until today, with special emphasis on the arrival of 5G and its implications compared with LTESupervised, unsupervised, semi-supervised, and reinforcement learning with an intuitive focus, covering their distinctive characteristicsDifferent types of digital twins, their fundamental properties, their suitability for design and optimization of cellular networks, and using them together with AI techniquesTransition from traditional network performance management and operations towards an AI-driven combination of control loops An informed and timely exploration of key developments and challenges by those who work on the frontline, AI for Design and Optimization of Cellular Networks is an essential resource for professionals working in cellular communications and AI, providing a one-of-a-kind blend of practical and theoretical information.