Generic-Adaptive-Resource-Control (GARC) in Next-Generation-Networks and Beyond

The Internet is the largest global recognized communication system, which evolved in dimensions of technology, capacity, availability and subscriber, transported data, etc. since its beginnings in the 1960’s continuously. As the world moves towards a data-only network environment with Long-TermEvolution (LTE) and its advanced version (LTE-A), it is crucial to ensure Quality-of-Service (QoS) even during overload situations in the access and core network. Information (voice and other data) is transported in All-ip networks in form of packets without taking individual application characteristics into consideration. Different application requirements on the packet data transport within the network exist due to the heterogeneity of applications, which cannot be realized because of missing communication between the application and network layer. Due to high bandwidth demands by end users, overload situations may cause congestion in access and core networks, which in turn effects Quality-of-Experience (QoE) negatively. Over-The-Top applications and the rapid data traffic grows which is expected to be 70% multimedia streaming, 20% file download and 5% M2M devices in 2016 [1] cause signalling storms and data tsunamis in todays operator networks. This paper presents with Generic-Adaptive-ResourceControl (GARC) a conceptual approach, its prototypical implementation and validation for bridging the gap between application and network layer in order to optimize the overall end-to-end connectivity by applying individual adequate and application specific service control mechanisms on the connectivity. Packet loss and connection interruptions will be avoided through smart traffic management within the access and core network.