Learning-based congestion control simulator for mobile internet education
Junqin Huang, Linghe Kong, Jiejian Wu, Yutong Liu, Yuchen Li, Zhe Wang · 2021
Mobile Internet enables a huge amount of access requests, leading to severe network congestion. To alleviate congestion in the transmission layer, lots of Congestion Control (CC) algorithms have been proposed recently in the research domain, which are specifically designed for various network environments. However, one of the teaching difficulties in mobile Internet education is to allow students to accurately choose the appropriate CC algorithm under the known or measurable network environment.