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20202026
most citedMinimum Length Scheduling for Discrete-Rate Full-Duplex Wireless Powered Communication Networks

1 citations · 1 across the 14 of their papers we have counts for

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eess.SP2026

EVT-Based Generative AI for Tail-Aware Channel Estimation

Parmida Valiahdi, Niloofar Mehrnia, Walid Saad +1

Ultra-reliable and low-latency communication (URLLC) will play a key role in fifth-generation (5G) and beyond networks, enabling mission-critical applications. Meeting the stringen…

eess.SP2025

Safe Deep Reinforcement Learning for Resource Allocation with Peak Age of Information Violation Guarantees

Berire Gunes Reyhan, Sinem Coleri

In Wireless Networked Control Systems (WNCSs), control and communication systems must be co-designed due to their strong interdependence. This paper presents a novel optimization t…

eess.SP2025

Explainable and Robust Millimeter Wave Beam Alignment for AI-Native 6G Networks

Nasir Khan, Asmaa Abdallah, Abdulkadir Celik +2

Integrated artificial intelligence (AI) and communication has been recognized as a key pillar of 6G and beyond networks. In line with AI-native 6G vision, explainability and robust…

eess.SP2025

Explainable AI-aided Feature Selection and Model Reduction for DRL-based V2X Resource Allocation

Nasir Khan, Asmaa Abdallah, Abdulkadir Celik +2

Artificial intelligence (AI) is expected to significantly enhance radio resource management (RRM) in sixth-generation (6G) networks. However, the lack of explainability in complex…

eess.SP2021

Federated Dropout Learning for Hybrid Beamforming With Spatial Path Index Modulation In Multi-User mmWave-MIMO Systems

Ahmet M. Elbir, Sinem Coleri, Kumar Vijay Mishra

Millimeter wave multiple-input multiple-output (mmWave-MIMO) systems with small number of radio-frequency (RF) chains have limited multiplexing gain. Spatial path index modulation…

eess.SP2021

Minimum Length Scheduling for Multi-cell Full Duplex Wireless Powered Communication Networks

Muhammad Shahid Iqbal, Yalcin Sadi, Sinem Coleri

In this paper, we investigate a novel minimum length scheduling problem to determine the optimal power control, and scheduling for constant and continuous rate models, while consid…