Computing in Communication Networks

Computing in Communication Networks

From Theory to Practice

1st Edition - May 20, 2020

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  • Editors: Frank Fitzek, Fabrizio Granelli, Patrick Seeling
  • Paperback ISBN: 9780128204887
  • eBook ISBN: 9780128209042

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Computing in Communication Networks: From Theory to Practice provides comprehensive details and practical implementation tactics on the novel concepts and enabling technologies at the core of the paradigm shift from store and forward (dumb) to compute and forward (intelligent) in future communication networks and systems. The book explains how to create virtualized large scale testbeds using well-established open source software, such as Mininet and Docker. It shows how and where to place disruptive techniques, such as machine learning, compressed sensing, or network coding in a newly built testbed. In addition, it presents a comprehensive overview of current standardization activities. Specific chapters explore upcoming communication networks that support verticals in transportation, industry, construction, agriculture, health care and energy grids, underlying concepts, such as network slicing and mobile edge cloud, enabling technologies, such as SDN/NFV/ ICN, disruptive innovations, such as network coding, compressed sensing and machine learning, how to build a virtualized network infrastructure testbed on one’s own computer, and more.

Key Features

  • Provides a uniquely comprehensive overview on the individual building blocks that comprise the concept of computing in future networks
  • Gives practical hands-on activities to bridge theory and implementation
  • Includes software and examples that are not only employed throughout the book, but also hosted on a dedicated website


University researchers and R&D industry engineers in mobile and wireless communications engineering and computer networks, postgraduate students, undergraduate students

Table of Contents

    1. On the need of computing in future communication networks
    2. Standardization activities for future communication networks

    3. Network slicing
    4. Mobile edge cloud
    5. Content distribution

    6. Software-defined networks
    7. Network function virtualization

    8. Machine learning
    9. Network coding
    10. Compressed sensing

    11. Mininet: An insant virtual network on your computer
    12. Docker: Containerize your application
    13. ComNetsEmu: A lightweight emulator

    14. Realizing network slicing
    15. Realizing mobile edge clouds
    16. Machine learning for routing
    17. Machine learning for flow compression
    18. Machine learning for congestion control
    19. Machine learning for object detection
    20. Network coding for transport
    21. Network coding for storage
    22. In-network compressed sensing
    23. Security for mobile edge cloud

    24. Connecting to the outer world
    25. Integrating time-sensitive networking
    26. Integrating software-defined radios

    27. Networking tools

Product details

  • No. of pages: 522
  • Language: English
  • Copyright: © Academic Press 2020
  • Published: May 20, 2020
  • Imprint: Academic Press
  • Paperback ISBN: 9780128204887
  • eBook ISBN: 9780128209042

About the Editors

Frank Fitzek

Frank H. P. Fitzek is a Professor and head of the “Deutsche Telekom Chair of Communication Networks” at TU Dresden coordinating the 5G Lab Germany. He is the spokesman of the DFG Cluster of Excellence “Center for Tactile Internet” (CeTI). He received his diploma (Dipl.-Ing.) degree in electrical engineering from the University of Technology – Rheinisch-Westfälische Technische Hochschule (RWTH) – Aachen, Germany, in 1997 and his Ph.D. (Dr.-Ing.) in Electrical Engineering from the Technical University Berlin, Germany in 2002 and became Adjunct Professor at the University of Ferrara, Italy in the same year. In 2003 he joined Aalborg University as Professor .

Affiliations and Expertise

Technische Universität Dresden. Deutsche Telekom Chair of Communication Networks. Dresden, Germany

Fabrizio Granelli

Fabrizio Granelli is Associate Professor at the Dept. of Information Engineering and Computer Science (DISI) – University of Trento (Italy), IEEE ComSoc Director for Educational Services (2018-19) and Chair of Joint IEEE VTS/ComSoc Italian Chapter. He is Research Associate Professor at the University of New Mexico, NM, USA. He received the M.Sc. and Ph.D. degrees from University of Genoa, Italy, in 1997 and 2001. He was visiting professor at the State University of Campinas (Brasil) and at the University of Tokyo (Japan), and IEEE ComSoc Distinguished Lecturer in 2012-15. He is Associate Editor in Chief of IEEE Communications Surveys and Tutorials.

Affiliations and Expertise

Associate Professor, DISI - University of Trento, Italy

Patrick Seeling

Patrick Seeling is a Professor in the Department of Computer Science at Central Michigan University, USA. He received his diploma (Dipl.-Ing.) degree in Industrial Engineering and Management from the Technical University Berlin, Germany, in 2002 and his his Ph.D. in Electrical Engineering from Arizona State University (ASU), USA, in 2005. He was an Associated Faculty at ASU until 2008 and an Assistant Professor at the University of Wisconsin-Stevens Point until 2011. In 2011, he joined Central Michigan University as Assistant Professor, where he became a tenured Associate Professor in 2015 and a Full Professor in 2018.

Affiliations and Expertise

Professor, Department of Computer Science, Michigan University, USA

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