activity
20072024
most citedCognitive Networks Achieve Throughput Scaling of a Homogeneous Network

83 citations · 549 across the 45 of their papers we have counts for

collaborators

49 papers

eess.SP2024

Miniature UAV-Aided Cooperative THz Networks with Reconfigurable Energy Harvesting Holographic Surfaces

Yifei Song, Jalal Jalali, Yanyu Qin +3

This paper focuses on enhancing the energy efficiency (EE) of a cooperative network that features a miniature unmanned aerial vehicle (UAV) operating at terahertz (THz) frequencies…

cs.CR2023

Active learning for fast and slow modeling attacks on Arbiter PUFs

Vincent Dumoulin, Wenjing Rao, Natasha Devroye

Modeling attacks, in which an adversary uses machine learning techniques to model a hardware-based Physically Unclonable Function (PUF) pose a great threat to the viability of thes…

cs.IT2023

Interpreting Training Aspects of Deep-Learned Error-Correcting Codes

N. Devroye, A. Mulgund, R. Shekhar +3

As new deep-learned error-correcting codes continue to be introduced, it is important to develop tools to interpret the designed codes and understand the training process. Prior wo…

cs.IT2022

On Second Order Rate Regions for the Static Scalar Gaussian Broadcast Channel

Daniela Tuninetti, Paul Sheldon, Besma Smida +1

This paper considers the single antenna, static Gaussian broadcast channel in the finite blocklength regime. Second order achievable and converse rate regions are presented. Both a…

cs.IT2021

Capacity and Stability Regions for Layered Packet Erasure Broadcast Channels with Feedback

Siyao Li, Daniela Tuninetti, Natasha Devroye +1

This paper focuses on the Layered Packet Erasure Broadcast Channel (LPE-BC) with Channel Output Feedback (COF) available at the transmitter. The LPE-BC is a high-SNR approximation…

cs.IT2019

On Code Design for Wireless Channels with Additive Radar Interference

Federico Brunero, Daniela Tuninetti, Natasha Devroye

This paper considers the problem of code design for a channel where communications and radar systems coexist, modeled as having both Additive White Gaussian Noise (AWGN) and Additi…