Cellular networks are usually modeled by placing the base stations on a grid, with mobile users either randomly scattered or placed deterministically. These models have been used …
MM Wilde - arXiv preprint arXiv:1106.1445, 2011 - arxiv.org
The aim of this book is to develop" from the ground up" many of the major, exciting, pre-and post-millenium developments in the general area of study known as quantum Shannon …
A noisy network coding scheme for communicating messages between multiple sources and destinations over a general noisy network is presented. For multi-message multicast …
R Wallace - Physics of Life Reviews, 2012 - Elsevier
The cross-sectional decontextualization afflicting contemporary neuroscience–attributing to 'the brain'what is the province of the whole organism–is mirrored by an evolutionary …
B Nazer, M Gastpar - Proceedings of the IEEE, 2011 - ieeexplore.ieee.org
When two or more users in a wireless network transmit simultaneously, their electromagnetic signals are linearly superimposed on the channel. As a result, a receiver that is interested in …
Consider the minimum mean-square error (MMSE) of estimating an arbitrary random variable from its observation contaminated by Gaussian noise. The MMSE can be regarded …
R Huang, F Shirani, D Luo - Proceedings of the AAAI conference on …, 2024 - ojs.aaai.org
Graph Neural Networks (GNNs) have received increasing attention due to their ability to learn from graph-structured data. To open the black-box of these deep learning models, post …
This paper introduces a new and ubiquitous framework for establishing achievability results in network information theory problems. The framework uses random binning arguments …
In a bi-directional relay channel, two nodes wish to exchange independent messages over a shared wireless half-duplex channel with the help of a relay. In this paper, we derive …