13 papers
Minimizing Energy Consumption based on Waste Factor in Multi-user Multi-relay Systems
Nurullah Sevim, Mostafa Ibrahim, Sabit Ekin +1
The escalating energy demands of modern wireless networks make energy-efficient system design a central challenge for future 6G deployments. Relay-assisted communication has long b…
Quantifying the Reality Gap for RL-Based UAV Placement at mmWave and Sub-THz
Abdullateef Almohamad, Mostafa Ibrahim, Sabit Ekin +1
Reinforcement learning (RL) policies for unmanned aerial vehicle (UAV) placement in mmWave and sub-terahertz networks are typically trained on simplified analytical channels. We qu…
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 Focus: CSI-Free Hierarchical MARL for Reconfigurable Reflectors
Hieu Le, Mostafa Ibrahim, Oguz Bedir +2
Reconfigurable Intelligent Surfaces (RIS) have the potential to engineer smart radio environments for next-generation millimeter-wave (mmWave) networks. However, the prohibitive co…
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)…
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…
Block Phase Tracking Reference Signal (PTRS) Allocation for DFT-s-OFDM
Mostafa Ibrahim, Sabit Ekin, Yingming +2
This study introduces a Block Phase Tracking Reference Signal (PTRS) allocation approach for Discrete Fourier Transform-spread-Orthogonal Frequency Division Multiplexing (DFT-s-OFD…
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…
Propeller Modulation Equalization via Reference Tones
Mostafa Ibrahim, Sabit Ekin
Propeller modulation, also known as micro-Doppler modulation, presents a significant challenge in radio frequency (RF) inspection operations conducted via drones. This paper invest…
Guiding Wireless Signals with Arrays of Metallic Linear Fresnel Reflectors: A Low-cost, Frequency-versatile, and Practical Approach
Hieu Le, Oguz Bedir, Jian Tao +2
This study presents a novel mechanical metallic reflector array to guide wireless signals to the point of interest, thereby enhancing received signal quality. Comprised of numerous…
Anticipating Optical Availability in Hybrid RF/FSO Links Using RF Beacons and Deep Learning
Mostafa Ibrahim, Arsalan Ahmad, Sabit Ekin +4
Radio frequency (RF) communications offer reliable but low data rates and energy-inefficient satellite links, while free-space optical (FSO) promises high bandwidth but struggles w…
Large Language Models (LLMs) Assisted Wireless Network Deployment in Urban Settings
Nurullah Sevim, Mostafa Ibrahim, Sabit Ekin
The advent of Large Language Models (LLMs) has revolutionized language understanding and human-like text generation, drawing interest from many other fields with this question in m…