Optimal Cloud Computing Resource Allocation For Centralized Radio Access Networks

Abstract

The enhanced computational capacity brought to us by cloud computing has changed the way businesses deploy and provide service to users. The mobile network operators are also affected by such wave, resulted in the next-generation form of cellular communication architecture, called centralized radio access networks (C-RAN). One of the most challenging missions in C-RAN as well as other cloud-based services is how to optimally allocate the cloud computing resource to different service agent. In this paper, we propose to use a stochastic programming approach to optimally schedule such resources to minimize the service outage for C-RANs. The evaluation results show that the proposed approach outperforms the conventional resource allocation method which ignores the uncertainties on the network.