Multi-stratum resources optimization for cloud-based radio over optical fiber networks

Cloud radio access network (C-RAN) has become a promising scenario to accommodate high-performance services with ubiquitous user coverage and real-time cloud computing using cloud BBUs. In this paper, we propose a novel multistratum resources optimization (MSRO) architecture for cloud-based radio over optical fiber networks with software defined networking. Additionally, a global evaluation strategy (GES) is introduced in the proposed architecture. The MSRO can enhance the responsiveness to end-to-end user demands and globally optimize radio frequency, optical spectrum and BBU processing resources effectively to maximize radio coverage. The overall feasibility and efficiency of the proposed architecture with GES strategy are experimentally verified on OpenFlow-enabled testbed in terms of resource occupation rate and path provisioning latency.