Context aware traffic identification kit (TriCK) for network selection in future HetNets/5G networks

Abstract

In order to realise 5G communication, massive regulations and standards are proposed. Among all the approaches, Heterogeneous Networks (HetNets) have become one necessary and popular solution since it can reuse the existing infrastructure. The focus of cellular network has changed since the last generation from operator centric to user centric services. In HetNets, wisely utilising all the available radio access interfaces and distributing the traffic flow properly can significantly increase Quality of user Experience (QoE) and motivate more data consuming. For purpose of achieving QoE supported HetNets/5G, intelligent network selection schemes in HetNets based approach is demanded. In order to distribute diverse traffic into suitable network interfaces, Access Network Discovery and Selection Function (ANDSF) is proposed by 3GPP, which can distribute every data packet to a preferred network interface according to several observed features from that packet. However, static policies in ANDSF can neither understand the context nor adapt to real time changes. In this paper, we proposed a serverclient based Context aware Traffic identification Kit (TriCK) to dynamically identify traffic, which can be used to extend the functionalities of 3GPP ANDSF. This kit can classify traffic data not only based on its characteristics, but also the real time network conditions and the context.