Authors:
Pattiwar Shravan Kumar , BITS Pilani Hyderabad Campus, India
Paresh Saxena , BITS Pilani Hyderabad Campus, India
Ozgu Alay, University of Oslo, Norway and Karlstad University, Sweden
Abstract:
This is a brief summary of the research paper. It provides an overview of the problem, methodology, results, and conclusions. With the rise of 5G/B5G, data-heavy vehicular IoT (V-IoT) applications demand smarter multipath scheduling. We propose two DRL-based MPQUIC schedulers, DEAR-MAC and DEAR-CAP, designed for dynamic vehicular networks. Tested with real-world traces and fluctuating network conditions, our methods outperform Peekaboo by up to 48.11%. These schedulers ensure more reliable and efficient data delivery for V-IoT use cases like real-time navigation and remote diagnostics...... Read Full Paper
Keywords: Multipath QUIC Scheduling · 5G and Satellite Networks · Video Quality Assessment · DRL.
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System Model (will be uploaded once published) |
Performance of Multipath schedulers over state of art algorithms (will be uploaded once published) |