On the need of computing in future communication networks

Frank H.P. Fitzek, Patrick Seeling, Thomas Höschele, Bruno Jacobfeuerborn

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

5 Scopus citations


In this chapter, we describe the transformation of current communication networks to future communication systems. Communication networks are always prone to transformation due to requests for new services by their users. Initially, communication networks addressed voice services. Later, data services were added. The digital transfer requires a more disruptive transformation, supporting machine-to-machine and later human-to-machine type communications. State-of-the-art communication systems are solely conveying information in an agnostic fashion between two places, where a very limited number of applications is hosted. Communication links are often addressed as dumb pipes. Future communication networks are becoming intelligent as information is increasingly processed within the communication network, rather than solely in the end points, for a massive number of heterogeneous applications. Once computing is introduced into networks, the role of the network operator will change dramatically. In the era of digital transfer, computing within the network is the key enabler for new services offering increased security, lower latency, increased resilience, and many additional features we describe in this chapter.

Original languageEnglish
Title of host publicationComputing in Communication Networks
Subtitle of host publicationFrom Theory to Practice
Number of pages43
ISBN (Electronic)9780128204887
StatePublished - Jan 1 2020


  • 5G
  • Circuit-switched
  • Compressed sensing
  • Information-centric network
  • Machine learning
  • Mobile edge cloud
  • Network coding
  • Network function virtualization
  • Network slicing
  • Packet-switched
  • Software-defined networks


Dive into the research topics of 'On the need of computing in future communication networks'. Together they form a unique fingerprint.

Cite this