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Stochastic Petri Nets for Wireless Networks

  • Book
  • © 2015

Overview

Authors:
  1. Lei Lei

    1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

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  2. Chuang Lin

    1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

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  3. Zhangdui Zhong

    1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

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

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Introduction

    • Lei Lei, Chuang Lin, Zhangdui Zhong
    Pages 1-7

  3. Stochastic Petri Nets

    • Lei Lei, Chuang Lin, Zhangdui Zhong
    Pages 9-18

  4. Performance Analysis of Opportunistic Schedulers Using SPNs

    • Lei Lei, Chuang Lin, Zhangdui Zhong
    Pages 19-39

  5. Performance Analysis of Device-to-Device Communications with Dynamic Interference Using SPNs

    • Lei Lei, Chuang Lin, Zhangdui Zhong
    Pages 41-78

  6. Packet Level Wireless Channel Model for OFDM System Using SHLPNs

    • Lei Lei, Chuang Lin, Zhangdui Zhong
    Pages 79-97

  7. Conclusions and Outlook

    • Lei Lei, Chuang Lin, Zhangdui Zhong
    Pages 99-101
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Keywords

About this book

This SpringerBrief presents research in the application of Stochastic Petri Nets (SPN) to the performance evaluation of wireless networks under bursty traffic. It covers typical Quality-of-Service performance metrics such as mean throughput, average delay and packet dropping probability. Along with an introduction of SPN basics, the authors introduce the key motivation and challenges of using SPN to analyze the resource sharing performance in wireless networks. The authors explain two powerful modeling techniques that treat the well-known state space explosion problem: model decomposition and iteration, and model aggregation using stochastic high-level petri nets. The first technique assists in performance analysis of opportunistic scheduling, Device-to-Device communications with full frequency reuse and partial frequency reuse. The second technique is used to formulate a wireless channel mode for cross-layer performance analysis in OFDM system. Stochastic Petri Nets for Wireless Networks reveals useful insights for the design of radio resource management algorithms and a new line of thinking for the performance evaluation of future wireless networks. This material is valuable as a reference for researchers and professionals working in wireless networks and for advanced-level students studying wireless technologies in electrical engineering or computer science.

Authors and Affiliations

  • State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

    Lei Lei

  • Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Chuang Lin

  • School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

    Zhangdui Zhong

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