Load and Latency aware Cost Optimal Controller Placement in 5G Network using sNFV

Abstract

5th Generation of Mobile Networking (5G) is tar-geting to fulfil all the service demands of end users in acost effective manner. To provide optimum end-to-end network services within a resource restricted environment is really a challenging task. Tele-communication Service Providers (TSPs)are facing huge trouble in order to minimize the network deployment cost to cover more users by increasing the network coverage area. Software Defined Networking (SDN) and Network Function Virtualization (NFV) are key technology enablers to have potential to improve techno-economic scenarios for next generation telecommunication networks. In this work, we have formulated a unique cost effective controller placement algorithm(LLACPA - Load & Latency aware Controller Placement Algorithm) that can successfully reduce the cost of CAPEX (Capital Expenditure), OPEX (Operational Expenditure) and TCO (Total Cost of Ownership) of a highly dense 5G network using the concept of softwarized Network Function Virtualization (sNFV). Seamless connectivity in Ultra Low Latency (ULL) is one of the key features of 5G. So, we further optimize the model based on network latency and traffic load demand of the UEs (User Equipment). Using a comparative graphical analysis it has been demonstrated that our proposed algorithm shows significant cost reduction in the 5G network as compare to existing current days networks. The cost effective controller deployment algorithm also takes care of all other network constrains and make this approach very much efficient for TSPs.