Video Quality-Aware Traffic Steering System for Multi-Homed Mobile Terminal

Abstract

This work presents a video quality-aware traffic steering system that provides stable video streaming services to users by steering part of the macrocell traffic into small cells. The proposed system achieves a good balance between fairness and social welfare in terms of the video quality by allocating the radio resource of the macro base station. The user data flow is split into two parts toward the macro base station and small cell AP, and the users simultaneously receive their data from both. In the proposed system, fountain code is employed to achieve dual connectivity enhancement by overcoming practical issues in the dual connectivity architecture. Furthermore, SDN technology is adopted not only to quickly react to time-varying network status but also to control network resources efficiently. The proposed resource allocation process is designed to require a low running time complexity. The proposed system is implemented using C/C++, Java, and a well-known ONOS open source. The experimental results verify that the proposed system can achieve much better performance than other traffic steering algorithms.