Resources Management Research In Virtualized Wireless Network

With the vigorous development and surging of the future 5G wireless network service, a large number of wireless mobile services emerging present diversity, simultaneously, the wireless network has a trend of intensive and isomerization. Faced with the complex network environment and the shortage of wireless resources, there is an urgent need for a new and scalable wireless network technology, and many scholars believe that network virtualization technology has great potential.In the early days, network virtualization focused on the core network,which belongs to the wired research field, at present it has been widely used. However, the virtualization technology on the access network(namely the wireless network) is not yet mature,and in the face of the fervent demands of the technological innovation and breakthrough, it has received extensive attention from the researchers.This paper presents a new wireless network virtualization architecture, and considers the perfect wireless virtual resource management mechanism is an important means to achieve wireless virtualization. The three characteristics such as independence,customization, effectiveness as research objectives, and the virtual resourcs have been reasonable sliced, and then it can logically form multiple virtual wireless networks, namely VWNets. The resource independence between multiple VWNets and the resource management within a single VWNet are two important research contents of wireless network virtualization technology.In this paper, based on wireless virtual resources and the newVWNets architecture model, this paper has discussed two problems,one is the independence between multiple VWNets, another is to optimize the resources allocation in a single VWNet; and then put forward the research solutions and algorithms to the above two program.For the first research question, taking the single-cell single-base station as the research background, the third chapter analyzes the model of resource allocation for VWNets ,and based the model, the goal of realizing QoS requirements of users and a good balance between the system fair and throughput are put forward. So an adaptive dynamic resource scheduling(VWN-ADRS) algorithm for VWNets is proposed by improving the M-LWDF algorithm. This algorithm assigns different weight to users who have different types of business and queue backlogs, and ensures the fairness of different virtual networks in resource scheduling process. The algorithm can well be applied to VWNets through improvement of the traditional scheduling algorithm M-LWDF, and it has more excellent throughput and delay performance than M-LWDF. For the Second research question, taking a single VWNet in multi-cells as the research background. By analyzing the seven-cells regional model, this paper proposes a scheme to solve the regional load balancing problem that is the central cell is heavy and the system throughput is low, based on Quantum-behaved Particle Swarm Optimization algorithm. The core idea is to offload the edge user of the heavy-load cell, to receive the user closer to the base station, and to enhance the throughput of the cell.Meanwhile, the edge user is re-served by the adjacent light-load cell,which can improve the resources utilization and system throughput. By improving the mutation factor M to prevent falling into the local optimal solution and designing the unloading scheme as "particle", the improved quantum particle swarm optimization algorithm is used to find the optimal solution, that is, the optimal solution is the unloading scheme for solving the load imbalance. Improved Quantum Particle Swarm Optimization algorithm has more convergence precision than Genetic Algorithm and Particle Swarm algorithm, and it improves the resource efficiency of network and can make the network gain more network benefits than randomly algorithm and greedy algorithm.