3 papers
eess.SP2025
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…
eess.SY2025
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…
cs.AI2024
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…