KKT-conditions based resource allocation algorithm for DASH streaming service over LTE

In this paper, we propose a DASH friendly resource allocation algorithm that enhances consumers' Quality of Experience(QoE) especially by reducing the re-buffering time ratio of video streaming and guarantees fairness among non-video traffic over LTE. The proposed method is based on Karush-Kuhn-Tucker(KKT)-Conditions and provides optimal solutions by considering buffer levels and past average throughputs of DASH and non-DASH consumers. Finally, we validate this by using NS- 3(Network Simulator) to prove that our method shows better performance in the re-buffering time ratio and fairness among non-video traffic compared to existing resource allocation methods.