7 papers
Learning to Focus: CSI-Free Hierarchical MARL for Reconfigurable Reflectors
Hieu Le, Mostafa Ibrahim, Oguz Bedir +2
Reconfigurable Intelligent Surfaces (RIS) has a potential to engineer smart radio environments for next-generation millimeter-wave (mmWave) networks. However, the prohibitive compu…
Bypassing the CSI Bottleneck: MARL-Driven Spatial Control for Reflector Arrays
Hieu Le, Oguz Bedir, Mostafa Ibrahim +2
Reconfigurable Intelligent Surfaces (RIS) are pivotal for next-generation smart radio environments, yet their practical deployment is severely bottlenecked by the intractable compu…
Learning to Reflect: Hierarchical Multi-Agent Reinforcement Learning for CSI-Free mmWave Beam-Focusing
Hieu Le, Oguz Bedir, Mostafa Ibrahim +2
Reconfigurable Intelligent Surfaces promise to transform wireless environments, yet practical deployment is hindered by the prohibitive overhead of Channel State Information (CSI)…
Signal Whisperers: Enhancing Wireless Reception Using DRL-Guided Reflector Arrays
Hieu Le, Oguz Bedir, Mostafa Ibrahim +2
This paper presents a multi-agent reinforcement learning (MARL) approach for controlling adjustable metallic reflector arrays to enhance wireless signal reception in non-line-of-si…
Masked Symbol Modeling for Demodulation of Oversampled Baseband Communication Signals in Impulsive Noise-Dominated Channels
Oguz Bedir, Nurullah Sevim, Mostafa Ibrahim +1
Recent breakthroughs in natural language processing show that attention mechanism in Transformer networks, trained via masked-token prediction, enables models to capture the semant…
Theoretical Foundations of Waste Factor and Waste Figure with Applications to Fixed Wireless Access and Relay Systems
Nurullah Sevim, Mostafa Ibrahim, Sabit Ekin +1
The exponential rise in energy consumption across wireless communication systems, particularly in anticipation of next-generation wireless systems, necessitates rigorous frameworks…