Research On Network Accessing Strategy For 5G Integrated Networks

In the future, the mobile communication network will contain various wireless communication technologies, different kinds of wireless communication technologies will provide different overages, throughout, QoS and so on. However, there is no single wireless communication technology which can satisfy all of users' requirments, the 5G integrated networks an inexorable trend. How to choose the best network which can meet the users' preference in 5G integrated networks is a research focus in academic field and industrial field. Appropriate network selection can make full use of network resources and improve the quality of user experience. This thesis focuses on the network accessing strategy for 5G integrated networks. The main research work and innovative achievements are as follows:Firstly, the requirements and research of 5G integrated networks are introduced, and the vertical handoff technologies in integrated networks are expounded including switching performance, handoff process, typical handoff algorithm, etc.Secondly, on the basis of the conclusion of the technological demand of 5G integrated networks, a new algorithm GAHP for access network selection in 5G integrated networks is proposed to choose the best target network for users in the complicate network environment. First of all, the QoS parameters are selected and processed from two aspects, namely network performance and user experience. Then, it transfers user preference into quantity parameters with the Fuzzy Theory and filters the QoS parameters through the Grey Theory. Finally, candidate networks are ranked and chosen. Simulation indicates: GAHP algorithm performs better than traditional network selection algorithms, and it can select the best network faster and more accurately, which will improve user satisfaction.Thirdly, a new access network selection algorithm is proposed by introducing the thought of Matching Game. It transfers the problem of network selection into the game between the network cooperators and users. First of all, the priority queues for the network cooperators and users are worked out respectively by the GAHP algorithm. Then, it finds the best and the most stable matching results through the mutual selections of the network cooperators and users. Simulation results demonstrate that the network selection algorithm based on Matching Game can balance the benefit between the networks and users, and maximize the degree of satisfaction both of networks and users.This thesis deeply studies the problem of network selection for 5G integrated networks and works out some meaningful research results, which will provide some theoretical values and practical meanings for the design and implementation of 5G integrated networks in the future.