3 papers
cs.NI2026
Emulation vs Simulation: A Case Study from Congestion Control Algorithms in Low Earth Orbit Satellite Networks
Aiden Valentine, Mihai Mazilu, James Knowles +2
Evaluating congestion control is inherently challenging because performance depends on the interaction between the congestion-control algorithm, transport stack, application behavi…
cs.NI2026
Evaluating Learning Congestion control Schemes for LEO Constellations
Mihai Mazilu, Aiden Valentine, George Parisis
Low Earth Orbit (LEO) satellite networks introduce unique congestion control (CC) challenges due to frequent handovers, rapidly changing round-trip times (RTTs), and non-congestive…
cs.NI2026
Learning-Based vs Human-Derived Congestion Control: An In-Depth Experimental Study
Mihai Mazilu, Luca Giacomoni, George Parisis
Learning-based congestion control (CC), including Reinforcement-Learning, promises efficient CC in a fast-changing networking landscape, where evolving communication technologies,…