Design and evaluation of congestion control algorithm for fluctuating bandwidth at extreme condition scenarios of 5G-advanced and 6G mobile networks

The applications of the future will require support for ultra-low delay, high bandwidth, and multiple data streams into the gigabit-per-second range. 5G-Advanced and 6G networks with the assumption that width bandwidth will be available through the utilization of high-frequency spectrum. However, this increased bandwidth comes at the cost of unpredictable scenarios, such as sudden changes in channel conditions due to mobility or obstructions and lengthy delays in long-distance connections. Such fluctuations affect the performance of upper-layer Internet protocols employed by applications such as TCP and QUIC. Questions that need to be answered include the ability to adapt after a drastic change in network conditions and whether the adaptation time is sufficient for applications to take advantage of the high-capacity channel before a new fluctuation occurs. The project aims to design and evaluate a congestion control algorithm capable of efficiently adapting to the fluctuating bandwidth of extreme condition scenarios of 5G-A/6G mobile networks. Thus, after the implementation of 5G-advanced and 6G in mmWave, it will be possible to create advanced services through demanding applications such as Augmented Reality (AR) and Virtual Reality (VR), Remote Surgery, and Telemedicine, Smart Manufacturing, among others., with high performance under these new scenarios.

Faculty Supervisor:

Sandra Cespedes

Student:

Partner:

Universidad de Chile

Discipline:

Computer science

Sector:

Education

University:

Concordia University

Program: