Information Theory for Data Communications and Processing
The PDF covers the following topics related to Information
Theory : Information Theory for Data Communications and Processing, On the
Information Bottleneck Problems: Models, Connections,Applications and
Information Theoretic Views, Variational Information Bottleneck for Unsupervised
Clustering: Deep Gaussian Mixture Embedding, Asymptotic Rate-Distortion Analysis
of Symmetric Remote Gaussian Source Coding: Centralized Encoding vs. Distributed
Encoding, Non-Orthogonal eMBB-URLLC Radio Access for Cloud Radio Access Networks
with Analog Fronthauling, Robust Baseband Compression Against Congestion in
Packet-Based Fronthaul Networks Using Multiple Description Coding, Amplitude
Constrained MIMO Channels: Properties of Optimal Input Distributions and Bounds
on the Capacity, Quasi-Concavity for Gaussian Multicast Relay Channels, Gaussian
Multiple Access Channels with One-Bit Quantizer at the Receiver, Efficient
Algorithms for Coded Multicasting in Heterogeneous Caching Networks,
Cross-Entropy Method for Content Placement and User Association in Cache-Enabled
Coordinated Ultra-Dense Networks, Symmetry, Outer Bounds, and Code
Constructions: A Computer-Aided Investigation on the Fundamental Limits of
Caching.
Author(s): Shlomo Shamai, Abdellatif Zaidi
296 Pages