Interference Management Technology Research On Ultra Dense Network(UDN)

For 2020 and the future,5G will be able to meet the flexible deployment of the network.As the core technology of 5G system,Ultra-dense network will be able to achieve seamless coverage of wide area coverage.However,with the intensive deployment of the network,it also brought a lot of technical challenges,such as the rational allocation of the wireless resources,the interference between small cells,deployment costs,mobility and other issues.In this paper,the interference management technology of the ultra-dense network is mainly studied,and the important components of the ultra-dense network and its system scenario are introduced.The ultra-dense network can provide higher data traffic,user experience rate and system capacity,but also brings a series of interference problems.Therefore,the interference management strategy of the macro-diversity collaborative multi-point joint clustering and resource allocation,the adaptive cluster and learning algorithm scheduling strategy and the user-centric inter-cell interference nulling in the small cells network strategy are proposed.The system-level simulation platform to verify the effectiveness of the algorithm is built.Clustering and resource allocation is taken into account in the interference strategy of the macro-diversity cooperative multi-point.Compared with the non-cooperative strategy and the scheme without resource allocation,the interference strategy significantly improves the performance of the system.Adaptive clustering and learning algorithm scheduling strategy enhances the user's peak rate and the throughput performance to a certain extent,and the user will have a great user experience.The interference nulling strategy effectively identifies and mitigates the main interference for every user.A user-centric approach can be easily applied to other interference management methods that are performed in the time domain or frequency domain.In addition,the stochastic spatial network model has proven to be a powerful tool for analyzing and designing collaborative cellular networks,where it is important to consider the spatial distribution of BSs and users.