Demand Aware Edge Caching Architecture for evolved Multimedia Broadcast Multicast Service to Reduce Latency and bandwidth Savings

Abstract

Network overload due to rampant increase in multimedia data consumption in LTE is the major cause of concern for telecom operators. To overcome the above said issue, operators are employing content caching in the LTE core network nodes like GW or in the access network nodes like eNodeB or a separate caching servers in the access or core networks and implementing efficient content distribution methods such as evolved multimedia broadcast and multicast service (eMBMS). To efficiently use the above methods, operators need to identify the right content and right location among the network of cached servers for caching. In this paper, we propose a novel idea for choosing the right content to cache based on the popularity rank calculated using the MooD (MBMS operation on Demand) framework. Furthermore, we proposed two new distribution architecture for the cached content in the LTE network based on the current demand estimation for the content. Our results reveal that, there are significant savings achieved in terms of reduced processing cost in the LTE network nodes and less latency from the proposed method against the existing concepts of non-caching standard architecture. We achieved around 27% improvement in latency and bandwidth from the proposed methods when the request for the content follows Zipfian type of distribution.