activity
20102026
most citedFull Connectivity: Corners, edges and faces

48 citations · 332 across the 72 of their papers we have counts for

collaborators

81 papers

eess.SP2026

On the Probability of Network States with Gaussian Connectivity Functions

Amy S. Inwood, Peter J. Smith, Pawel Dmochowski +3

In this paper, we consider the connectivity of a random network of N mobile devices in three dimensions (3D), where the location of each device or node has a Gaussian distribution…

cs.IT2026

On the Entropy of a Random Geometric Graph

Praneeth Kumar Vippathalla, Justin P. Coon, Mihai-Alin Badiu

In this paper, we study the entropy of a hard random geometric graph (RGG), a commonly used model for spatial networks, where the connectivity is governed by the distances between…

cs.IT2026

Adaptive Privacy of Sequential Data Releases Under Collusion

Sophie Taylor, Praneeth Kumar Vippathalla, Justin Coon

The fundamental trade-off between privacy and utility remains an active area of research. Our contribution is motivated by two observations. First, privacy mechanisms developed for…

eess.SY2025

Joint Beamforming with Extremely Large Scale RIS: A Sequential Multi-Agent A2C Approach

Zhi Chai, Jiajie Xu, Justin P Coon +1

It is a challenging problem to jointly optimize the base station (BS) precoding matrix and the reconfigurable intelligent surface (RIS) phases simultaneously in a RIS-assisted mult…

cs.IT2025

Rate-Distortion-Perception Function of Bernoulli Vector Sources

Praneeth Kumar Vippathalla, Mihai-Alin Badiu, Justin P. Coon

In this paper, we consider the rate-distortion-perception (RDP) trade-off for the lossy compression of a Bernoulli vector source, which is a finite collection of independent binary…

cs.IT2024

The Asymptotic Behaviour of Information Leakage Metrics

Sophie Taylor, Praneeth Kumar Vippathalla, Justin P. Coon

Information theoretic leakage metrics quantify the amount of information about a private random variable that is leaked through a correlated revealed variable . They can be…

eess.SY2024

RIS-Assisted Millimeter Wave Communications for Indoor Scenarios: Modeling and Coverage Analysis

Zhi Chai, Jiajie Xu, Justin P. Coon +1

Millimeter wave (mmWave) communications and reconfigurable intelligent surfaces (RIS) are two critical technologies for next-generation networks, especially in dense indoor environ…

cs.LG2024

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…

cs.LG2024

Online Algorithm for Node Feature Forecasting in Temporal Graphs

Aniq Ur Rahman, Justin P. Coon

In this paper, we propose an online algorithm mspace for forecasting node features in temporal graphs, which captures spatial cross-correlation among different nodes as well as the…

cs.IT2023

Graph Compression with Side Information at the Decoder

Praneeth Kumar Vippathalla, Mihai-Alin Badiu, Justin P. Coon

In this paper, we study the problem of graph compression with side information at the decoder. The focus is on the situation when an unlabelled graph (which is also referred to as…

cs.IT2023★ 1 cited

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…

cs.IT2023

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…

eess.SY2023

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…

cs.NI2022★ 3 cited

LEAST: a Low-Energy Adaptive Scalable Tree-based routing protocol for Wireless Sensor Networks

Amirmohammad Farzaneh, Mihai-Alin Badiu, Justin P. Coon

Routing is one of the critical and ongoing challenges in Wireless Sensor Networks. The main challenge has always been to have a routing protocol that reduces the communication over…

cs.IT2022★ 3 cited

Multi-User Frequency Assignment for Ultra-Reliable mmWave Two-Ray Channels

Karl-Ludwig Besser, Eduard A. Jorswieck, Justin P. Coon

We consider a multi-user two-ray ground reflection scenario with unknown distances between transmitter and receivers. By using two frequencies per user in parallel, we can mitigate…

eess.SP2022

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…

cs.NI2022

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…

cs.IT2022★ 1 cited

An Efficient Frequency Diversity Scheme for Ultra-Reliable Communications in Two-Path Fading Channels

Karl-Ludwig Besser, Eduard A. Jorswieck, Justin P. Coon

We consider a two-ray ground reflection scenario with unknown distance between transmitter and receiver. By utilizing two frequencies in parallel, we can mitigate possible destruct…

cs.IT2022

An Information Theory Approach to Network Evolution Models

Amirmohammad Farzaneh, Justin P. Coon

A novel Markovian network evolution model is introduced and analysed by means of information theory. It will be proved that the model, called Network Evolution Chain, is a stationa…

cs.IT2022★ 1 cited

Simple Gray Coding and LLR Calculation for MDS Modulation Systems

Ferhat Yarkin, Justin P. Coon

Due to dependence between codeword elements, index modulation (IM) and related modulation techniques struggle to provide simple solutions for practical problems such as Gray coding…

cs.IT2021

Performance Analysis of IOS-Assisted NOMA System with Channel Correlation and Phase Errors

Tianxiong Wang, Mihai-Alin Badiu, Gaojie Chen +1

In this paper, we investigate the performance of an intelligent omni-surface (IOS) assisted downlink non-orthogonal multiple access (NOMA) network with phase quantization errors an…

eess.SP2021

Modulation Based On A Simple MDS Code: Achieving Better Error Performance Than Index Modulation and Related Schemes

Ferhat Yarkin, Justin P. Coon

In this paper, we propose two novel modulation concepts based on a simple maximum distance separable (MDS) code { and show that these concepts can achieve better error performance…

cs.IT2021

Structural Complexity of One-Dimensional Random Geometric Graphs

Mihai-Alin Badiu, Justin P. Coon

We study the richness of the ensemble of graphical structures (i.e., unlabeled graphs) of the one-dimensional random geometric graph model defined by nodes randomly scattered i…

cs.IT2021

BernoulliZip: a Compression Algorithm for Bernoulli Processes and Erdos-Renyi Graphs

Amirmohammad Farzaneh, Mihai-Alin Badiu, Justin P. Coon

A novel compression scheme for compressing the outcome of independent Bernoulli trials is introduced and analysed. The resulting algorithm, BernoulliZip, is a fast and near-opt…