WiFi/LTE learning based Qos-aware Coexistence
Hager Hafaiedh, Inès El Korbi, Rami Langar, Leı̈la Azouz Saı̈dane · 2020
Thanks to advanced techniques such as carrier aggregation (CA), alongside with the emergence of the LTE on the 5Ghz band (LTE-U), it has become possible to boost the performance of existing cellular networks. However, LTE-U threatens the performance of co-existing Wi-Fi systems operating over the 5Ghz bands. We will investigate in this paper, an effective coexistence mechanism, that aims at creating a common ground between LTE-U's QOS satisfaction, and the WIFI's performance. We will use a poly-game generator approach, where a set of games is predicted by a neural network, to solve the issue.