Statistical Multiplexing Gain Analysis Based on Resource Utilization for Practical C-RAN

Abstract

Compared with the traditional distributed radio access network (D-RAN), the processing resources utilization of the centralized radio access network (C-RAN) can be improved due to the sharing of processing resources, achieving the statistical multiplexing gain (SMG). In this paper, we focus on analyzing the SMG and the factors that impact the SMG, which could provide guidance for the 5G/6G system design. Firstly, considering that the configuration of radio resources has impact on the utilization of processing resources for practical C-RAN, the SMG model based on processing resources utilization is established and the constraint of radio resources is introduced into our model. Then, the specific expression of the SMG is derived based on the temporal-spatial distribution of data traffic. The impacts of traffic fluctuation and radio resources configuration on the SMG are analyzed. Both analysis and simulation results show that the SMG increases as the spatial fluctuation of traffic increases, but the rate of growth will slow down due to the limitation of radio resources. Moreover, we find that the improvement of channel quality or the increase in the number of radio resources configuration will bring a higher SMG. Finally, the SMGs of the target areas are estimated based on the practical traffic distribution data.