3 papers
eess.SP2025
Ultra-Reliable Risk-Aggregated Sum Rate Maximization via Model-Aided Deep Learning
Hassaan Hashmi, Spyridon Pougkakiotis, Dionysis Kalogerias
We consider the problem of maximizing weighted sum rate in a multiple-input single-output (MISO) downlink wireless network with emphasis on user rate reliability. We introduce a no…
eess.SP2025
Data-Driven Two-Stage IRS-Aided Sumrate Maximization with Inexact Precoding
Hassaan Hashmi, Spyridon Pougkakiotis, Dionysis Kalogerias
We propose iZoSGA, a data-driven learning algorithm for joint passive long-term intelligent reflective surface (IRS)-aided beamforming and active short-term precoding in wireless n…
eess.SP2024
Data-Driven Learning of Two-Stage Beamformers in Passive IRS-Assisted Systems with Inexact Oracles
Spyridon Pougkakiotis, Hassaan Hashmi, Dionysis Kalogerias
We develop an efficient data-driven and model-free unsupervised learning algorithm for achieving fully passive intelligent reflective surface (IRS)-assisted optimal short/long-term…