Stochastic Petri Nets for Wireless Networks

  • Lei Lei
  • Chuang Lin
  • Zhangdui Zhong

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

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Lei Lei, Chuang Lin, Zhangdui Zhong
    Pages 1-7
  3. Lei Lei, Chuang Lin, Zhangdui Zhong
    Pages 9-18
  4. Lei Lei, Chuang Lin, Zhangdui Zhong
    Pages 19-39
  5. Lei Lei, Chuang Lin, Zhangdui Zhong
    Pages 79-97
  6. Lei Lei, Chuang Lin, Zhangdui Zhong
    Pages 99-101

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.


Device-to-device communications OFDM Opportunistic scheduling Stochastic high-level petri nets Stochastic petri nets Wireless channel mode Wireless networks

Authors and affiliations

  • Lei Lei
    • 1
  • Chuang Lin
    • 2
  • Zhangdui Zhong
    • 3
  1. 1.State Key Laboratory of Rail Traffic Control and SafetyBeijing Jiaotong UniversityBeijingChina
  2. 2.Department of Computer Science and TechnologyTsinghua UniversityBeijingChina
  3. 3.School of Computer and Information TechnologyBeijing Jiaotong UniversityBeijingChina

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-16882-1
  • Online ISBN 978-3-319-16883-8
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • Buy this book on publisher's site