Research On Wireless Virtual Network Embedding Theory In 5G Environment

5G is the fifth-generation mobile communication system for 2020 and beyond,and puts forward the requirements of transmission rate,transmission delay,network capacity,quality of service and so on.Ultra-dense network is one of the effective solutions to meet the needs of its larger network capacity.Due to the intensive deployment of microbase stations,the inter-cell interference problem and user mobility management problem become particularly serious,which seriously affects the performance of ultra-dense networks.Therefore,in this paper,the interference problem and mobility management problem in 5G ultra-dense network are studied.A resource embeddding algorithm which can effectively reduce inter-cell interference and an embeddding algorithm to ensure mobility management of user experience are proposed.The main work of this paper is as follows:(1)The related content of 5G is summarized,and the 5G ultra-dense network scenarios and wireless network virtualization are highlighted.Review the current research status,and the research ideas and content arrangement of this paper are given.(2)A wireless virtual embeddding algorithm considering inter-cell interference in a 5G ultra-dense environment is proposed.The main idea is to introduce the idea of wireless virtual mapping into the ultra-dense network,virtualize the wireless resources of the whole network into a wireless virtual resource pool,and allocate resources dynamically by the Acer station to complete the mapping.Firstly,according to the distribution of service arrival rate and service duration,the probability distribution of the number of services needed to provide service in the next slot is derived when the number of services in the current slot is known.Then,under certain probability,the number of traffic in the next time slot is predicted,the set of multiplexed base stations of the whole network is calculated by these traffic numbers and total resources,and the radio resources are reserved.Finally the greedy algorithm is used to formulate the strategy of realtime resource allocation in the next time slot which will minimize the interference of the dynamically arrived service to the whole network and ensure the user experience of each user.Finally,the simulation results show the effectiveness of the algorithm.(3)A resource embedding algorithm that considers user mobility for ultra-dense scenarios is proposed.First,numbering different coverage areas for ultra-dense networks and generating an abstract generic map.Then,the number information of different areas that the user has moved in a certain time is uploaded to the macro base station,and the macro base station learns it,and constructs an incremental analysis tree by the idea of the LZ78 compression algorithm.Next,the high-order Markov chain is used to predict the number of the user's area at the next moment,and the incremental parse tree is continuously updated.By using the prediction result,the signal-to-noise ratio of the user signal,the load of the base station,and the access value of the base station are integrated as a comprehensive index to select the access base station,and the resources are mapped to reduce the handover delay and improve the user experience.Finally,the paper summarizes the full text,and gives the following research direction.