Network Information Theory and Its Applications
This special issue belongs to the section "Information Theory, Probability and Statistics".
Special Issue Information
Dear Colleagues,
With the development of information technologies in fields such as communication and artificial intelligence, scenarios involving multiple users and even complex networks dominate scientific research. For the core performance metrics of these scenarios, it is urgent to study their fundamental limits, namely network information theory. The research progress will also in turn promote technological advancements in practical applications.
In this Special Issue, we focus on (but are not limited to) characterizing the fundamental limits of core performance metrics related to multiuser and even networked scenarios, and designing schemes to approach these limits. According to different scenarios, these metrics include channel capacity, latency, reliability, complexity, secrecy, etc.
This Special Issue will accept unpublished original papers and comprehensive reviews focused on network information theory and its application.
Prof. Dr. Yanlin Geng
Dr. Youlong Wu
Dr. Ling Liu
Guest Editors
Manuscript Submission Information
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Keywords
- network information theory
- capacity region
- Gaussian noise
- information inequality
- distributed system
- federated learning
- channel coding
- source coding
- randomness generation
- integrated sensing and communication
- coded caching and computing
- communication for computing
- network coding
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Published Papers
Entropy - ISSN 1099-4300