Performance evaluation of Cloud Radio Access Networks by jointly considering communicational and computational network resources

Abstract

With the introduction of 5G technology, telecommunications industry enters a stage where remarkable changes occur. The rapid increase of traffic load combined with the emergence of new network requirements has led to the need of developing a network architecture capable of supporting a network of high efficiency, improved transmission rates and low latency. C-RAN architecture is able to meet all these challenges, while focuses on the innovation of a functional split in the Base Station (BS) where the Baseband Units - BBU is detached from the Remote Radio Heads - RRH. Its successful implementation is able to bring significant benefits where among them cost reduction, the entrance of new network requirements and services as well as enhanced network flexibility, are the ones that dominate. In this paper, we perform the analysis of this type of network through the application of specific Teletraffic Models: the Multi-rate Loss Model and the Retry Models. The Multi-rate Loss Model refers to systems that serve different types of services, whose calls are accepted by the system if only there are service units available. The Retry Models allows rejected calls to retry their connection to the system, offering a lower chance of losing calls and thus reduced network performance. The comparison of the blocking probabilities can lead us to conclusions about the efficiency of these models in a C-RAN network and then in the evaluation of the overall network performance.