Skip to main content

Channel Aggregation and Fragmentation for Traffic Flows

  • Book
  • © 2020

Overview

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (5 chapters)

Keywords

About this book

This book introduces the impact of channel aggregation (CA) and channel fragmentation (CF) on traffic flows, through analytical models, computer simulations, and test-bed implementations. Its content includes the concept of CA and CF, the basic concept and calculation of Markov chains (MCs), the modeling process of the CA and CF enabled system via MCs, the process of simulations, and a test-bed study based on a software defined radio.


This book can serve as a study guide for advanced-level students, who are interested in studying the impact of CA and CF techniques on traffic flows. This book would also interest communication engineers, who would like to learn MC modeling for performance evaluations, as it includes a step-by-step guidance for the modeling process via MCs, as well as its simulation approaches.

Authors and Affiliations

  • The Department of Information and Communication Technology, University of Agder, Grimstad, Norway

    Lei Jiao

About the author

Lei Jiao obtained his Ph.D. degree in Information and Communication Technology (ICT) from the University of Agder (UiA), Norway, in 2012. He is currently an Associate Professor with the Department of ICT in UiA. He is responsible for several courses in Bachelor and Master level, such as signal processing and access in wireless networks. His research interests include modeling of stochastic process, performance evaluations of communication systems, and machine learning. He is a Senior Member of IEEE.

Bibliographic Information

Publish with us