Technological advancements have provided wireless links with very high capacity for 5G mobile networks and WiFi 6, which will be widely deployed by 2025; however, the capacity heavily fluctuates, violating the assumption at the transport layer that the capacity is (almost) fixed.
In this project, we will develop a general and efficient, yet deployable proxy-based solution to this problem through a novel design empowered with a rich theory, allowing a significantly improved experience in using new technologies, especially mobile cellular services.
We employ the well-known theory of food-chain models in biology, where a bottleneck link can be modelled as prey, while flows are predators. We extend this model to a chain of predator→prey/predator→. . . →prey to form a multi-hop congestion controller, called LGCC. Through implementation and experimental evaluation with real-life 5G traces we aim to show the effectiveness of LGCC, compared with the state-of-the-art such as ABC.