Performance Analysis of Service-Based RAN via Multi-state Markov Chain
Huimin Zhang, Guangyi Liu, Na Li, Zhou Tong, Quan Zhao, SUN Junshuai · 2022
Service-based radio access network (RAN) which enables RAN to support diversified applications and vertical industries has aroused the widespread interest. The feasibility verification of the new architecture is particularly important before further research, which is the focus of this paper. This work presents the multi-state Markov approach into the service-based RAN for performance analysis. The key phases, namely orchestration and transmission phase, are extracted to build the multi-state Markov model. And the closed expression of the Markov characteristics are given. We set the simulator according to cell deployment and the task processing to validate the proposed model. Also, the evaluation results of Markov characteristics and typical performance metrics are provided which shows the accuracy of our model.