activity
20232025
collaborators

5 papers

eess.SP2025

Model-based Deep Learning for Joint RIS Phase Shift Compression and WMMSE Beamforming

Alexander James Fernandes, Ioannis Psaromiligkos

A model-based deep learning (DL) architecture is proposed for reconfigurable intelligent surface (RIS)-assisted multi-user communications to reduce the number of bits required for…

eess.SP2025

Access Probability Optimization in RACH: A Multi-Armed Bandits Approach

Ahmed O. Elmeligy, Ioannis Psaromiligkos, Au Minh

The use of cellular networks for massive machine-type communications (mMTC) is an appealing solution due to the availability of the existing infrastructure. However, the massive nu…

eess.SP2024

Load Estimation in a Two-Priority mMTC Random Access Channel

Ahmed O. Elmeligy, Ioannis Psaromiligkos, Au Minh

The use of cellular networks for massive machine-type communications (mMTC) is an appealing solution due to the wide availability of cellular infrastructure. Estimating the number…

eess.SP2023

Channel Estimation for Reconfigurable Intelligent Surface MIMO with Tensor Signal Modelling

Alexander James Fernandes, Ioannis Psaromiligkos

We consider a narrowband MIMO reconfigurable intelligent surface (RIS)-assisted wireless communication system and use tensor signal modelling techniques to individually estimate al…

eess.IV2023

CNN-based automatic segmentation of Lumen & Media boundaries in IVUS images using closed polygonal chains

Pavel Sinha, Ioannis Psaromiligkos, Zeljko Zilic

We propose an automatic segmentation method for lumen and media with irregular contours in IntraVascular ultra-sound (IVUS) images. In contrast to most approaches that broadly labe…