Research On Resource Slicing Algorithm In Cloud Radio Access Network

In response to the huge challenges posed by the mobile Internet business,5G networks will support a rich application scenarios and differentiated business requirements.Network slicing as the key technology of 5G,abstracts the physical network into several end-to-end logical networks through virtualization technology,and provides the optimal resource allocation scheme for each logical network,so as to achieve the on-demand network slicing.For the key capability needs of 5G,the cloud radio access network(C-RAN)based on centralized processing,cooperative radio and real-time cloud computing architecture is an important direction for future evolution of the radio access network.Therefore,reaserch on combining network slicing with C-RAN helps to improve network performance and meet the 5G service requirements.The resource management is important for the radio access network slices,and the problem of resource allocation between slices based on single base station in cellular network has become the current hot research topic,however,the direct use of its resource allocation mechanism in C-RAN can not achieve good network performance.Therefore,studying the resources allocation for multiple network slices in C-RAN is of great significance.In this context,the main work of this paper is to research the resource slicing algorithm in cloud wireless access network.Firstly,this paper studies the problem of spectrum resource allocation for multiple network slices in C-RAN.Pricing mechanism based on game theory is an effective way to solve the resource management problem.In this paper,we take the cost of spectrum resources,and the actual benefits obtained by infrastructure provider(InP)and mobile network virtual operators(MVNOs)through spectrum resources allocation into account,then study the problem of allocating spectrum resources for multiple network slices based on the Stackelberg game pricing model in C-RAN.As the leader,InP sells its spectrum resources to pursue its revenue maximization through reasonable pricing.As followers,MVNOs rent spectrum resources from InP dynamically to serve their users.Finally,the simulation results verify the existence of Stackelberg game equilibrium point.Secondly,this paper studies the joint allocation of radio resources and physical infrastructure resources for multiple network slices in C-RAN.In fact,network slices share multiple network resources,including radio resources and physical infrastructure resources.Therefore,we propose the optimization problem of jointing carriers,power and remote radio head(RRH)allocation for multiple network slices in C-RAN to maximize the network throughput.By decomposing the original problem into two sub-problems,a two-step suboptimal algorithm is proposed to solve the problem.The numerical results show that the proposed algorithm can achieve better network performance in both throughput and spectral efficiency than other approaches.