Minimization of delays in multi-service Cloud-RAN BBU pools

Abstract

Cloud Radio Access Network (C-RAN) is a cost-effective solution for cellular operators which not only offers resource allocation and interference management flexibility, but also helps them enhance the energy efficiency of the network. The key character of the C-RAN architecture is a centralized Baseband Unit (BBU) pool which consists of high-capacity processing units and real-time virtualization. However, this centralized architecture can affect the system latency. As a consequence, the minimization of the execution delay of each user services in the BBU pool can be perceived as a major performance objective. In this paper, we consider different delay sensitive services and optimize their execution time inside the BBU pool. We present a new approach of BBU selection based on queuing theory in order to minimize the response time in the BBU pool under resource cost constraint. Simulation results showed that our proposed approach is more efficient than benchmark algorithms in terms of response time and throughput.