Research of the effectiveness of MPQUIC protocol schedulers depending on the сongestion сontrol algorithms

M. V. Popov^ab, I. A. Stepanov^ac, A. I. Get'man<sup>abcd

a</sup> Ivannikov Institute for System Programming of the RAS
^b Lomonosov Moscow State University
^c Moscow Institute of Physics and Technology (National Research University)
^d National Research University Higher School of Economics

Abstract: In recent years, the QUIC protocol has become widely popular as an alternative to TCP. In addition, Multipath technology implemented in the MPQUIC protocol is currently being widely implemented and researched. The central component of the MPQUIC protocol is the scheduler, which decides which path and at which time to send the next data packets. There are implementations of schedulers based on both heuristic rules and reinforcement learning. At the moment, the behavior of schedulers in various environments has been studied in detail in terms of path characteristics. However, the issue of their effectiveness, depending on the congestion control algorithms used, is not sufficiently sanctified. This paper presents the implementation of various schedulers and a study of their effectiveness depending on congestion control. The results obtained suggest that the scheduler can work effectively in a network environment with a certain congestion control algorithm, but it may not be effective in an environment with a different congestion control algorithm.

Keywords: Multipath scheduler, QUIC protocol, MPQUIC protocol, congestion control algorithms, reinforcement learning

DOI: 10.15514/ISPRAS-2025-37(6)-16