5 papers
PRB-RUPFormer: A Recursive Unified Probabilistic Transformer for Residual PRB Forecasting
Saad Masrur, Yuxuan Jiang, Matti Hiltunen +2
Accurate forecasting of residual Physical Resource Blocks (PRBs) is critical for proactive network slice provisioning, energy-efficient operation, and spectrum-aware decision makin…
Energy Efficient Sleep Mode Optimization in 5G mmWave Networks via Multi Agent Deep Reinforcement Learning
Saad Masrur, Ismail Guvenc, David Lopez Perez
Dynamic sleep mode optimization (SMO) in millimeter-wave (mmWave) networks is essential for maximizing energy efficiency (EE) under stringent quality-of-service (QoS) constraints.…
Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization
Saad Masrur, Ismail Guvenc
Localization of radio frequency (RF) sources has critical applications, including search and rescue, jammer detection, and monitoring of hostile activities. Unmanned aerial vehicle…
Transforming Indoor Localization: Advanced Transformer Architecture for NLOS Dominated Wireless Environments with Distributed Sensors
Saad Masrur, Jung-Fu, Cheng +2
Indoor localization in challenging non-line-of-sight (NLOS) environments often leads to poor accuracy with traditional approaches. Deep learning (DL) has been applied to tackle the…
Energy-Efficient Sleep Mode Optimization of 5G mmWave Networks Using Deep Contextual MAB
Saad Masrur, Ismail Guvenc, David Lopez-Perez
Millimeter-wave (mmWave) networks, integral to 5G communication, offer a vast spectrum that addresses the issue of spectrum scarcity and enhances peak rate and capacity. However, t…