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Game Theory and Learning for Wireless Networks

Written by leading experts in the field, Game Theory and Learning for Wireless Networks Covers how theory can be used to solve;

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Game Theory In Wireless And Communication Networks

of mobile applications, and game theory provides the ideal framework for designing efficient and robust distributed algorithms. This book enables;

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Game Theory for Wireless Engineers

analyze the performance of ad hoc networks. Game theory is a field of applied mathematics that describes and analyzes interactive decision;

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Game Theory for Networks

organized in the following topical sections: Game Theory for Wireless Networks; Games for Economy and Resource Allocation; and Game Theory for;

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Game Theory for Wireless Communications and Networking

unresolved, Game Theory for Wireless Communications and Networking provides a systematic introduction to the application of this powerful and dynamic;

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Game Theory for Wireless Communications and Networking

unresolved, Game Theory for Wireless Communications and Networking provides a systematic introduction to the application of this powerful and dynamic;

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Federated Learning for Wireless Networks

, and game theory to optimize the performance of federated learning in wireless networks. Lastly, the third part describes several applications;

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Game Theory for Next Generation Wireless and Communication Networks

Discover the very latest game-theoretic approaches for designing, modeling, and optimizing emerging wireless communication networks and;

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Game Theory for Networking Applications

This book provides recent results of game theory for networking applications. The contributors address the major opportunities and;

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Network Games, Control and Optimization

; stochastic models for network performance analysis; game theory in mobile and wireless networks; scheduling and resource allocation problems;

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Cooperative Cellular Wireless Networks

A self-contained guide to the state-of-the-art in cooperative communications and networking techniques for next generation cellular;

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Machine Learning for Future Wireless Communications

A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single;

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Towards User Centric Intelligent Network Selection in 5G Heterogeneous Wireless

This book presents reinforcement learning (RL) based solutions for user-centric online network selection optimization. The main content can;

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Towards User Centric Intelligent Network Selection in 5G Heterogeneous Wireless

This book presents reinforcement learning (RL) based solutions for user-centric online network selection optimization. The main content can;

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Mobile Data Mining and Applications

, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data;

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Physical Layer Security in Wireless Communications

approaches used for the design and analysis of physical layer security techniques: Information Theoretic Approaches: introduces;

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Communication, Signal Processing & Information Technology

Communication & Signal Processing involving topics such as: Communications Theory and Techniques, Communications Protocols and Standards;

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Autonomous Airborne Wireless Networks

new resource Autonomous Airborne Wireless Networks delivers an insightful exploration on recent advances in the theory and practice;

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Fundamentals of Cognitive Radio

control theory. It also provides a vision for the new world of wireless communications by integration of cellular and cognitive radio networks;

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Machine Learning for Networking

submissions. They present and discuss new trends in deep and reinforcement learning, patternrecognition and classi cation for networks, machine;

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Network Games

interaction of multiple independent decision-makers necessitates the use of game theory, including economic notions related to markets and incentives;

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Resource Management and Performance Analysis of Wireless Communication Networks

. This book presents modelling methods based on queueing theory and Markov processes for a wide variety of WCN systems, as well as precise and;

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Machine Learning for Networking

submissions. They present and discuss new trends in deep and reinforcement learning, pattern recognition and classification for networks, machine;

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Security and Cooperation in Wireless Networks

relationships between trust, security, and cooperation are also discussed. Contains homework problems and tutorials on cryptography and game theory;

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Broadband Wireless Access Networks for 4G

With the increased functionality demand for mobile speed and access in our everyday lives, broadband wireless networks have emerged as the;

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Wireless Coexistence - Standards, Challenges, and Intelligent Solutions

in addition to, current techniques. It also considers applications to communication theory, learning algorithms for passive wireless coexistence;

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Advances in Mobile Computing and Communications

feedback for 4G, and game theory application for power control and subcarrier allocation in OFDMA cellular networks. Additionally, the book covers;

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