activity
20092024
most citedBeam Alignment for Millimetre Wave Links with Motion Prediction of Autonomous Vehicles

57 citations · 303 across the 63 of their papers we have counts for

collaborators

64 papers

cs.IT2024

An Achievability Bound for Variable-Length Stop-Feedback Coding over the Gaussian Channel

Ioannis Papoutsidakis, Robert J. Piechocki, Angela Doufexi

Feedback holds a pivotal role in practical communication schemes, even though it does not enhance channel capacity. Its main attribute includes adaptability in transmission that al…

cs.CR2023

Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs

Ioannis Mavromatis, Theodoros Spyridopoulos, Pietro Carnelli +12

The way we travel is changing rapidly, and Cooperative Intelligent Transportation Systems (C-ITSs) are at the forefront of this evolution. However, the adoption of C-ITSs introduce…

cs.LG2023

FROST: Towards Energy-efficient AI-on-5G Platforms -- A GPU Power Capping Evaluation

Ioannis Mavromatis, Stefano De Feo, Pietro Carnelli +2

The Open Radio Access Network (O-RAN) is a burgeoning market with projected growth in the upcoming years. RAN has the highest CAPEX impact on the network and, most importantly, con…

cs.LG2023★ 1 cited

LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations

Ahmed Khalil, Robert Piechocki, Raul Santos-Rodriguez

In this paper we introduce learnable lattice vector quantization and demonstrate its effectiveness for learning discrete representations. Our method, termed LL-VQ-VAE, replaces the…

cs.LG2023★ 1 cited

Privacy in Multimodal Federated Human Activity Recognition

Alex Iacob, Pedro P. B. Gusmão, Nicholas D. Lane +5

Human Activity Recognition (HAR) training data is often privacy-sensitive or held by non-cooperative entities. Federated Learning (FL) addresses such concerns by training ML models…

cs.IT2023

Efficient Evaluation of the Probability of Error of Random Coding Ensembles

Ioannis Papoutsidakis, Angela Doufexi, Robert J. Piechocki

This paper presents an achievability bound that evaluates the exact probability of error of an ensemble of random codes that are decoded by a minimum distance decoder. Compared to…