5 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…