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Monday, May 11, 2020 | History

1 edition of Game theory and learning for wireless networks found in the catalog.

Game theory and learning for wireless networks

Samson Lasaulce

Game theory and learning for wireless networks

fundamentals and applications

by Samson Lasaulce

  • 234 Want to read
  • 29 Currently reading

Published by Elsevier/Academic Press in Amsterdam, Boston .
Written in English

    Subjects:
  • Wireless communication systems,
  • Game theory

  • Edition Notes

    Includes bibliographical references (p. 289-307) and index.

    StatementSamson Lasaulce, Hamidou Tembine
    ContributionsTembine, Hamidou
    Classifications
    LC ClassificationsTK5103.2 .L375 2011
    The Physical Object
    Paginationxv, 323 p. :
    Number of Pages323
    ID Numbers
    Open LibraryOL25125289M
    ISBN 100123846986
    ISBN 109780123846983
    LC Control Number2011930747
    OCLC/WorldCa756592040

      Game Theory and Learning for Wireless Networks is the first comprehensive resource of its kind, and is ideal for wireless communications R&D engineers and graduate students. Samson Lasaulce is a senior CNRS researcher at the Laboratory of Signals and Systems (LSS) at Supélec, Gif-sur-Yvette, : Elsevier Science. Download Citation | Game theory and learning for wireless distributed networks | In this thesis, we study wireless networks in which mobile terminals are free to choose their communication Author: François Mériaux.

    said about games on networks in the more basic context. We very brie y discuss other settings, but our focus is on the canonical case. Of course, one can view these settings as special cases of game theory more generally, and so some results from the general literature directly apply: for example, existence of . Next, we present several examples of engineering systems where game theory is relevant to motivate game-theoretic learning algorithms robust to partial and noisy information access. For each system, we define the key elements of a game, that is, the players and their action sets and preferences. Power control in wireless networks [1, 2]Author: Ceyhun Eksin, Brian Swenson, Soummya Kar, Alejandro Ribeiro.

    Game theory and learning for wireless networks [Ressource électronique]: fundamentals and applications / Samson Lasaulce, Hamidou Tembine. Amsterdam: Elsevier, The key results and tools of game theory are covered, as are various real-world technologies including 3G networks, wireless LANs, sensor networks, dynamic spectrum access and cognitive networks.


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Game theory and learning for wireless networks by Samson Lasaulce Download PDF EPUB FB2

Game Theory and Learning for Wireless Networks is the first comprehensive resource of its kind, and is ideal for wireless communications R&D engineers and graduate students. Samson Lasaulce is a senior CNRS researcher at the Laboratory of Signals and Systems (LSS) at Supélec, Gif-sur-Yvette.

Game Theory and Learning for Wireless Networks is the first comprehensive resource of its kind, and is ideal for wireless communications R&D engineers and graduate students. Samson Lasaulce is a senior CNRS researcher at the Laboratory of Signals and Systems (LSS) at Supélec, Gif-sur-Yvette Cited by: Game Theory and Learning for Wireless Networks is the first comprehensive resource of its kind, and is ideal for wireless communications R&D engineers and graduate students.

Samson Lasaulce is a senior CNRS researcher at the Laboratory of Signals and Systems (LSS) at Supélec, Gif-sur-Yvette Price: $ With the growth of distributed wireless networks such as Wi-Fi and the Internet; the push to develop ad hoc and cognitive networks has led to a considerable interest in applying game theory to wireless communication systems.

Game Theory and Learning for Wireless Networks is the first comprehensive resource of its kind, and is ideal for wireless communications R&D engineers and. This book enables readers to develop a solid understanding of game theory, its applications and its use as an effective tool for addressing wireless communication and networking problems.

The key results and tools of game theory are covered, as are various real-world technologies including 3G networks, wireless LANs, sensor networks, dynamic Cited by: Game Theory and Learning for Wireless Networks by Hamidou Tembine, Samson Lasaulce Get Game Theory and Learning for Wireless Networks now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from + publishers. This book is intended to engineers interested in wireless ad-hoc networks.

In this context, this book presents a very clear introduction to decision theory and game theory as many other books. However, the interesting point of this book is that it highlights the important issues in the field (such as power control and routing) and suggests Cited by: Game Theory and Learning for Wireless Networks is the first comprehensive resource of its kind, and is ideal for wireless communications R&D engineers and graduate students.

Samson Lasaulce is a senior CNRS researcher at the Laboratory of Signals and Systems (LSS) at. Game Theory and Learning for Wireless Networks is the first comprehensive resource of its kind, and is ideal for wireless communications R&D engineers and graduate students.

The key results and tools of game theory are covered, as are various real-world technologies including 3G networks, wireless LANs, sensor networks, dynamic spectrum access and cognitive networks.

The book also covers a wide range of techniques for modeling, designing and analysing communication networks using game theory, as well as state-of Cited by: wireless networks. In this tutorial, we carefully explain how situations of this kind can be modelled by making use of game theory.

By leveraging on four simple running examples, we introduce the most fundamental concepts of non-cooperative game theory.

This. A wealth of new tools is covered - including matching theory and games with bounded rationality - and tutorial chapters show how to use these tools to solve current and future wireless networking problems in areas such as 5G networks, network virtualization, software defined networks, cloud computing, the Internet of Things, context-aware Cited by: 2.

Nodes of a network are good examples of such a situation so, game theory is highly applicable to wireless mesh and Ad hoc networks. Game theory has been widely used in wireless.

Suitable for the wireless communications engineer, this book covers how theory can be used to solve prevalent problems in wireless networks such as power control, resource allocation or medium access It emphasizes on promoting green solutions in the wireless field where power consumption is minimized.

Coverage of a wide range of techniques for modeling, design, and analysis of wireless networks using game theory. d) Identifying the key research issues related to wireless game theory applications. Textbook: Required: Zhu Han, Dusit Niyato, Walid Saad, Tamer Basar, and Are Hjorungnes, Game Theory in Wireless and Communication Networks: Theory.

With the growth of distributed wireless networks such as Wi-Fi and the Internet; the push to develop ad hoc and cognitive networks has led to a considerable interest in applying game theory to wireless communication systems.

Game Theory and Learning for Wireless Networks is the first comprehensive resource of its kind, and is ideal for wireless communications R&D engineers Brand: Elsevier Science.

The book also covers a wide range of techniques for modeling, designing and analysing communication networks using game theory, as well as state-of-the-art distributed design techniques. This is an ideal resource for communications engineers, researchers, and graduate and undergraduate students.

This book provides recent results of game theory for networking applications. The contributors address the major opportunities and challenges in applying traditional game theory as well as intelligent game theory to the understanding and designing of modern network systems, with emphasis on both new analytical techniques and novel application scenarios.

Written by leading experts in the field, Game Theory and Learning for Wireless Networks Covers how theory can be used to solve prevalent problems in wireless networks such as power control, resource allocation or medium access control.

Suitable for the wireless communications engineer, this book covers how theory can be used to solve prevalent problems in wireless networks such as power control, resource allocation or. This book constitutes the refereed proceedings of the 8th EAI International Conference on Game Theory for Networks, GameNetsheld in Paris, France, in April The 8 full and 3 short papers presented were carefully reviewed and selected from 17 submissions.This book constitutes the refereed proceedings of the 7th EAI International Conference on Game Theory for Networks, GameNetsheld in Knoxville, Tennessee, USA, in May The 10 conference papers and 5 invited papers presented cover topics such as smart electric grid, Internet of Things (IoT), social networks, networks security, mobile.

TY - BOOK. T1 - Game theory in wireless and communication networks. T2 - Theory, models, and applications. AU - Han, Zhu. AU - Niyato, Dusit. AU - Saad, WalidCited by: