Information Theory for Data Communications and Processing
A special issue of Entropy (ISSN 1099-4300).
Deadline for manuscript submissions: closed (30 September 2019) | Viewed by 45407
Special Issue Editors
Interests: multi-user information theory; modern communication networks (cloud and fog radio networks); information and signal processing (information–estimation); information bottleneck problems in communications and learning; sparse communications models and non-orthogonal (NOMA) systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on fundamental information-theoretic aspects of remote processing in networks. We welcome unpublished contributions related to advanced distributed data processing techniques distributively in networks. Examples include signal processing solutions based on communication and information-theoretic considerations, for Cloud and Fog Radio Access Networks (RAN), remote source coding, as well as interdisciplinary connections with problems such as information bottleneck, information-theoretic learning and prediction, distributed estimation and decision making, secrecy/privacy and identification in communication systems.
Prof. Dr. Shlomo Shamai (Shitz)
Prof. Dr. Abdellatif Zaidi
Guest Editors
Manuscript Submission Information
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Keywords
- Fog and Cloud RANs
- Remote source coding and indirect rate distortion theory
- Chief Executive Officer (CEO) source coding problems
- Noisy network coding
- Distributed estimation
- Information Bottleneck
- Information theoretic aspects of prediction and Deep learning
- Universal compression
- Hypothesis testing and statistics
- Caching
- Network information theoretic frameworks, including: multiple access, broadcast, relay, wiretap and X channels