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Stochastic Petri Nets for Wireless Networks (SpringerBriefs in Electrical and Computer Engineering) by Lei Lei, Chuang Lin, Zhangdui Zhong (auth.) is a nonfiction available to read on EtoBox.

What is Stochastic Petri Nets for Wireless Networks (SpringerBriefs in Electrical and Computer Engineering) about?

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

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Author

Lei Lei, Chuang Lin, Zhangdui Zhong (auth.)

Publisher

Springer International Publishing : Imprint Springer, Springer International Publishing, Imprint Springer

Published

2015

Language

EN

ISBN

9783319168838

Category

nonfiction

Subjects

Computer Science, Engineering, Mathematics