Information Theory for Data Communications and Processing

Overview & Synopsis

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 RateDistortion Analysis of Symmetric Remote Gaussian Source Coding, Centralized Encoding vs. Distributed Encoding, NonOrthogonal eMBBURLLC Radio Access for Cloud Radio Access Networks with Analog Fronthauling, Robust Baseband Compression Against Congestion in PacketBased Fronthaul Networks Using Multiple Description Coding, Amplitude Constrained MIMO Channels, Properties of Optimal Input Distributions and Bounds on the Capacity, QuasiConcavity for Gaussian Multicast Relay Channels, Gaussian Multiple Access Channels with OneBit Quantizer at the Receiver, Efficient Algorithms for Coded Multicasting in Heterogeneous Caching Networks, CrossEntropy Method for Content Placement and User Association in CacheEnabled Coordinated UltraDense Networks, Symmetry, Outer Bounds, and Code Constructions, A ComputerAided Investigation on the Fundamental Limits of Caching.