Research On Optimization Method Of Content Caching In Ultra-Dense Wireless Networks

The explosive increase of data service demand makes the ultra-dense wireless network become a research hotspot.It is a new method for ultra-dense networks to optimize multidimensional resources including communication,computing and storage according to the popularity of content in the network.The base stations in small cells are divided into clusters equally according to their location and signal strength in ultra-dense deployment of the network.The switching frequency and throughput will be influenced greatly depending on how the ultra-dense network be clustered,which is another research hotspot in research of ultra-dense networks.At first,related technologies of architecture and key technologies of ultra-dense wireless network are introduced.Then three aspects are mainly studied:(1)A joint optimization of communication,computing and storage multidimensional resources,using distributed storage,making the hot content closer to the user,while reducing the network traffic,is proposed in this thesis.(2)An energy efficiency optimization method based on content caching for ultra-dense wireless networks is proposed,which can help some nodes and users to divide traffic from the relay node base station,thus reducing the energy consumption.(3)This thesis presents a kind of Markov model of the mobile terminals' states based on the scenario and deduces the closed-form expressions of system throughput,blocking probability and so on.Simulation results demonstrate that the ultra-dense network can effectively reduce the unnecessary switching of mobile terminals,and improve the system throughput.Finally,conclusions are given and the next work of our research is presented.