6 citations · 9 across the 24 of their papers we have counts for
4 papers · 1 filter
Agentic Quantum Deep Reinforcement Learning for RAN Slicing
Tingnan Bao, Medhat Elsayed, Pedro Enrique Iturria-Rivera +3
Radio access network (RAN) slicing enables ultra-reliable low-latency communications (URLLC) and enhanced mobile broadband (eMBB) services to share radio resources, but their requi…
Reference-Based Recursive Least-Squares Mitigation of Real Interference in Stereo Audio Recordings
Necati Kagan Erkek, Y. Ugur Ozcan
Reference-based adaptive interference cancellation is evaluated for stereo audio recordings corrupted by real train noise and environmental background. The observed signal is model…
Pilot-Aided MIMO Channel Identification and Linear Deconvolution in Correlated Gaussian Noise
Necati Kagan Erkek, Y. Ugur Ozcan
This paper presents a pilot-aided study of multiple-input multiple-output (MIMO) channel identification and linear deconvolution under spatially correlated Gaussian noise. A real-v…
Reimagining RAN Automation in 6G: An Agentic AI Framework with Hierarchical Online Decision Transformer
Md Arafat Habib, Medhat Elsayed, Majid Bavand +3
In this paper, we propose an Agentic Artificial Intelligence (AI) framework for wireless networks. The framework coordinates a pool of AI agents guided by Natural Language (NL) inp…