Collective servicing of heterogenous traffic streams over 3GPP LTE network and application of access control

Abstract

Due to the progressions in the cellular technologies in recent times, communicating networks have seen vast expansion in the volumes and multiplicities of the data transmitted over the enhanced smart network especially IoT. The regulation and organization of such enormous amounts of data is posing substantial challenges across the various network industries. Because majority of data traffic transferred over such complex networks is comprised of "Big Data" That is continuously growing and evolving. 3GPP have acknowledged such scenarios and have given several recommendations and procedures to manage resources in such situations. But regrettably there are no concrete explanations and techniques on how these resources should be distributed in heterogenous networks. The mathematical modeling that considers the characteristics of traffic flows originating and accepting for servicing is deemed as one of the critical answers to such problems. To address this issue, we have designed a model of resource allocation and sharing strategy for conjoint servicing of real time video traffic referred as "Heavy traffic" of surveillance cameras and low-quality video traffic, referred as "Light traffic" which are transmitted as files over LTE cell facilities in a surveillance operator system. In the model, the access control is incorporated to create the conditions for differentiated servicing of heterogenous traffic incoming sessions. The mathematical model can be utilized to study reservation-based resource allocation scenarios over a shared heterogenous network.