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Applied Optimization Methods for Wireless Networks

networking area whose work interfaces with optimization. It teaches you how various optimization methods can be applied to solve complex problems;

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Nonlinear Combinatorial Optimization

Graduate students and researchers in applied mathematics, optimization, engineering, computer science, and management science will find;

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Nonlinear Combinatorial Optimization

Graduate students and researchers in applied mathematics, optimization, engineering, computer science, and management science will find;

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Resource Allocation and Performance Optimization in Communication Networks and the Internet

-art developments in resource allocation and performance optimization in wireless communication networks. It provides an overview of the;

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Resource Allocation and Performance Optimization in Communication Networks and the Internet

-art developments in resource allocation and performance optimization in wireless communication networks. It provides an overview of the;

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Soft Computing in Wireless Sensor Networks

This book focuses on the suitable methods to solve optimization problems in wireless network system utilizing digital sensors like Wireless;

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Planning and Optimisation of 3g and 4g Wireless Networks

networks along with their support design methods. It includes coverage of the latest wireless network types, planning and optimization methods;

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Machine Learning for Networking

learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection, optimization and new;

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Optimal Resource Allocation for Distributed Video Communication

Communication presents a unified optimization framework for resource allocation across these systems. The book examines the techniques required for;

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Optimal Resource Allocation for Distributed Video Communication

Communication presents a unified optimization framework for resource allocation across these systems. The book examines the techniques required for;

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Network Games, Control and Optimization

This book constitutes the conference proceedings of the 10th International Conference on Network Games, Control and Optimization, NETGCOOP;

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Resource Allocation for Wireless Networks

described and analysed, providing a unified framework for cross-layer optimization of wireless networks. State-of-the-art research topics and;

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Machine Learning for Networking: First International Conference, Mln 2018, Paris, France, November 27-29, 2018, Revised Selected Papers

for networks; Machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection;

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Cooperative and Graph Signal Processing

, optimization and control, machine learning, signal processing on graphs, signal processing for distributed communication, social networks from the;

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Design and Optimization for 5G Wireless Communications

for wireless and 5G communication systems design. The book introduces the design and optimization systems which target capacity, latency, and;

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Wireless Networks

Cross-layer design seeks to enhance the capacity of wireless networks significantly through the joint optimization of multiple layers;

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Improvised Energy Efficient Routing Protocol based on Ant Colony Optimization (ACO) for Wireless Sensor Networks

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Distributed Optimization Advances in Theories Methods and Applications

This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students;

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Distributed Optimization Advances in Theories Methods and Applications

This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students;

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Machine Learning for Networking

learning for network slicingoptimization, 5G system, user behavior prediction, multimedia, IoT, securityand protection, optimization and new;

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Quality of Service in Wireless Networks Over Unlicensed Spectrum

is presented from the point of view of protocols for wireless networks (e.g., 802.11) rather than the physical layer point of view usually discussed;

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Energy Optimization in Wireless Sensor Networks

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Federated Learning for Wireless Networks

Recently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently;

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Energy Based Location Optimization in Wireless Sensor Networks

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Autonomous Airborne Wireless Networks

positioning for emergency cellular networks using reinforcement learning (AI-enabled trajectory optimization) An exploration of unmanned aerial;

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Wireless-Powered Communication Networks

Learn the fundamentals of architecture design, protocol optimization, and application development for wireless-powered communication;

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Physical-layer Aware Control and Optimization in Wireless Networks

With the explosive growth in demand for wireless services, the next generation wireless networks are expected to provide solutions to cost;

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