Game Theoretic Approaches for Spectrum Redistribution

  • Fan Wu

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Fan Wu
    Pages 1-4
  3. Fan Wu
    Pages 97-98
  4. Back Matter
    Pages 99-103

About this book

Introduction

This brief examines issues of spectrum allocation for the limited resources of radio spectrum. It uses a game-theoretic perspective, in which the nodes in the wireless network are rational and always pursue their own objectives. It provides a systematic study of the approaches that can guarantee the system’s convergence at an equilibrium state, in which the system performance is optimal or sub-optimal. The author provides a short tutorial on game theory, explains game-theoretic channel allocation in clique and in multi-hop wireless networks and explores challenges in designing game-theoretic mechanisms for dynamic channel redistribution. Since designing a completely secure mechanism is extremely expensive or impossible in most of distributed autonomous systems, it is more beneficial to study misbehavior of the nodes and develop light-weighted game-theoretic channel allocation mechanisms. With a mix of theoretical and hands-on information, the brief traces the concepts of game theory, the current state of spectrum allocation in wireless networks and future competition for resources. Thorough yet accessible, the content is ideal for researchers and practitioners working on spectrum redistribution. It is also a helpful resource for researchers and advanced-level students interested in game theory and wireless communications.

Keywords

Channel allocation Channel auction Game theory Mechanism design Mulit-hop wireless networks Optimality Spectrum allocation Wireless network

Authors and affiliations

  • Fan Wu
    • 1
  1. 1.Department of Computer Science and EngineeringShanghai Jiao Tong UniversityShanghaiPeople's Republic of China

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-0500-3
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4939-0499-0
  • Online ISBN 978-1-4939-0500-3
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book