Research On Resource Allocation Strategy Based On Network Slice On Access Network

In recent years,with the rapid development and popularization of the mobile Internet and the Internet of Thinas,the 5th generation mobile communication system has become a key resear-ch topic.Unlike the 4G network era,which mainly serves mobile phones,5G networks need to serve terminal devices of various types and different needs.It can be said that the 5G network will enter the era of "all connections".The services often proposed by 5G networks include enhance mobile broadband,massive machine type of communication and ultra-high reliability and low latency communication.These three services need to deploy different networ-k architectures according to the different requirements of mobility,security,policy control,billing,delay,and reliability.In order to cope with the severe challenges,the 5G network proposes the network slicing technology,which divides an actual network into multiple logical networks thr-ough virtualization processing,thereby providing customized services for each service.It also poses a challenge for the resource allocation of 5G networks.On-chip customization and inter-chip isolation require that the spectrum resources allocated to each network slice should be orthogonal and differentiated resource allocation processing according to specific indicators of each slice.The "one size fits all" allocation mechanism of traditional networks cannot effectively deal with these problems.Therefore,the main work of this thesis is to study the resource allocation strategy based on network slicing on access network.Firstly,this paper studies the spectrum resource allocation strategy based on three services under 5G network:eMBB,mMTC,uRLLC.Aiming at the isolation requirements based on network slicing,an auction mechanism is proposed and a hierarchical auction model is introduced.The base station acts as the resource owner,the network slices act as the auctioneer and the users act as the resource user.Then,based on the business model of the three services,the normalization of the demand rate is performed.Then,the sigmoid function is used as the pricing function on the spectrum resource to represent the user's satisfaction with different resources.And resources are allocated for multiple network slices and users in order to maximizing the utility value based on dynamic programming algorithm.Simulation verification and theoretical analysis show that the proposed resource allocation strategy effectively increases the resource effect value and can improve the fairness of distribution.Secondly,based on the uRLLC slicing,this paper considers the clustering scheme and resource allocation strategy in the indirect access scenario of the fixed-mobile network.An improved k-means clustering algorithm is proposed for the coexistence of multiple device nodes in scenario.The nodes randomly distributed in the scene are subjected to Euclidean distance calculation processing based on the location of the base station to form a sorted set.The derivation value is used to obtain the optimal clustering value expression of the joint scene area size,the total number of device nodes,and the energy consumption model.Then,based on the formed clustering situation,maximize the downlink rate of the terminal and the relay devices,A linear programming problem is constructed to allocate time slots,thereby reducing signal interference of the base station to the terminal device and the terminal device to other devices.Simulation verification and theoretical analysis show that the improved clustering strategy can quickly and effectively obtain the clustering results.and time-frequency resource allocation scheme can effectively improve the system capacity and the total downlink rate.