You are currently viewing a new version of our website. To view the old version click .

Information Theory Applied to Communications and Networking

This special issue belongs to the section “Information Theory, Probability and Statistics“.

Special Issue Information

Dear Colleagues,

The Special Issue focuses on contributions based on Shannon's information concepts applied to problems in communications and networking.

When Shannon introduced his version of "entropy" and the related concept of "mutual information", he had problems in electrical communication in mind. Since then his theory has found a wide range of applications also outside the central field of telecommunications. The goal of this special issue is however to provide a modern view on problems in communications and networking, and the use of Shannon's notions to understand and characterize fundamental opportunities and limitations.

Prospective contributions should consider theory and problems motivated by the wide area of communications and networking. Shannon's original concepts of entropy and/or mutual information should be of central importance.

Prof. Dr. Eduard Jorswieck
Prof. Dr. Mikael Skoglund
Guest Editors

Keywords

  • shannon entropy
  • mutual information
  • coding theorems
  • capacity
  • communication networks
  • detection and estimation

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Published Papers

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Entropy - ISSN 1099-4300