Performance Analysis Of Cellular Radio Access Network Based On Control-and User-Plane Separation

In recent years,the amount of user connection devices and mobile communication traffic in cellular networks have increased significantly,which has brought great challenges to the deployment of next-generation mobile communication networks.In order to meet the everincreasing high-speed data demands of users and improve network capacity,operators have deployed heterogeneous networks.Constrained by limited spectrum and energy resources,are three areas that operators are currently focusing on.In order to further improve network capacity and resource utilization,this paper introduce control-and user-plane separation(CUPS)technology.How to adjust the system bandwidth pricing,network base station deployment and related network parameters,so that the network economic efficiency,energy efficiency and coverage probability are improved is the research direction of this paper.Firstly,this paper studies the economic efficiency and energy efficiency of the network for the bandwidth pricing problem in a random topology cellular network.Traditional pricing of a cellular network operator considers the bandwidth utilization for users and operational cost.In this paper,we re-examine this critical subject through a holistic engineering view taken energy efficiency into account.Since the operator knows about the user's utility function in advance,the operator can price the unit bandwidth requested by the user while considering the impact of the bandwidth price on the amount of bandwidth requested by the user.Based on the set price,the user will request bandwidth while maximizing their own payoff.So we treat this issue as a two-stage Stackelberg model game between the operator and mobile users.To reach a general result,randomly deployed base stations in large scale have been taken into consideration.By stochastic geometry,we derive the operator's profit and the energy efficiency per unit area,while considering the actual bandwidth demand of users based on their acceptable price.Simulation results show that the operator's profit and the energy efficiency can achieve their maximum at nearly the same price(i.e.,optimal price),and the optimal pricing strategy varies with the deployment density of base stations.Next,this paper establishes a cellular radio access network(RAN)based on control-and user-plane seperation(CUPS)analysis model,and analyzes the coverage probability of control plane(CP)and the energy efficiency of user plane(UP).In this analytical model,control base station(CBS)form the control plane(CP)and take care of control coverage as well as low speed data delivery.In contrast,traffic base station(TBS)in the user plane(UP)are used for transmitting high speed data.We assume that the user request data rates for CBSs and TBSs are different,and that CP and UP experience different path fading,so different service models and channel models are established for CP and UP,respectively.Based on queuing theory and stochastic geometry,we derive the coverage probability of the CP under non-line-ofsight(NLOS)transmissions,and derive the energy efficiency of the UP under coexisting line-of-sight(LOS)and NLOS propagation modes.Numerical results show that when the traffic load is high,the coverage probability of the CP increases with the increasing CBS' data rate or the density of CBS.We also found that the maximum energy efficiency of the UP can be achieved by optimizing the TBS density,while achieving a high area spectral efficiency.