5 papers
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…
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…
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…
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…
Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers
Nurullah Sevim, Ege Ozan Özyedek, Furkan Şahinuç +1
Transformer-based language models utilize the attention mechanism for substantial performance improvements in almost all natural language processing (NLP) tasks. Similar attention…