3 citations · 3 across the 4 of their papers we have counts for
10 papers
A Primer on Temporal Graph Learning
Aniq Ur Rahman, Justin P. Coon
This document aims to familiarize readers with temporal graph learning (TGL) through a concept-first approach. We have systematically presented vital concepts essential for underst…
Rate-Distortion Function of the Stochastic Block Model
Martin Wachiye Wafula, Praneeth Kumar Vippathalla, Justin Coon +1
The stochastic block model (SBM) is extensively used to model networks in which users belong to certain communities. In recent years, the study of information-theoretic compression…
On Random Tree Structures, Their Entropy, and Compression
Amirmohammad Farzaneh, Mihai-Alin Badiu, Justin P. Coon
Measuring the complexity of tree structures can be beneficial in areas that use tree data structures for storage, communication, and processing purposes. This complexity can then b…
Optimal Mobility and Communication Strategy to Maximize the Value of Information in IoT Networks
Zijing Wang, Mihai-Alin Badiu, Justin P. Coon
The Internet of Things (IoT) is an emerging next-generation technology in the fourth industrial revolution. In industrial IoT networks, sensing devices are largely deployed to moni…
Performance Analysis of RIS-Assisted Large-Scale Wireless Networks Using Stochastic Geometry
Tianxiong Wang, Gaojie Chen, Mihai-Alin Badiu +1
In this paper, we investigate the performance of a reconfigurable intelligent surface (RIS) assisted large-scale network by characterizing the coverage probability and the average…
TreeExplorer: a coding algorithm for rooted trees with application to wireless and ad hoc routing
Amirmohammad Farzaneh, Mihai-Alin Badiu, Justin P. Coon
Routing tables in ad hoc and wireless routing protocols can be represented using rooted trees. The constant need for communication and storage of these trees in routing protocols d…