activity
20122026
most citedHybrid RF/VLC Systems: A Comprehensive Survey on Network Topologies, Performance Analyses, Applications, and Future Directions

160 citations · 225 across the 41 of their papers we have counts for

collaborators
Showing 2026Show all

7 papers · 1 filter

eess.SP2026

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…

eess.SP2026

Integrated Sensing and Communications: A Tutorial on Mathematical Foundations, Signal Processing and System Design for 6G

Sabit Ekin

Integrated sensing and communications (ISAC) is a cornerstone of sixth-generation (6G) wireless networks: a single waveform, aperture, and hardware platform simultaneously conveys…

eess.SY2026

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…

eess.SY2026

The Anatomy of RF Chains: Metrics, Measures, and Operating Efficiency

Leonid Belostotski, Arjuna Madanayake, John Nielsen +6

In 1958, Haus and Adler [1] introduced the concept of noise measure. Noise measure is a single quantitative metric that provides a comprehensive basis for comparing devices (indivi…

cs.AI2026

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…

cs.AI2026

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…

cs.LG2026

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)…