Research On Inter-cell Interference Management Scheme Based On Massive MIMO

5G mobile communication network has greatly improved the system performance by means of technologies such as Massive MIMO(Massive Multiple Input Multiple Output)and UDN(Ultra Dense Network).However,with the gradual improvements of 5G technology research and the implementations of commercial plans,practical problems such as interference management have gradually been taken seriously.The dynamic TDD(Time Division Duplex)can cause CLI(Cross-link Interference)between cells,and Massive MIMO and UDN also intensify the severity of CLI.In addition,the 5G network is more complicated than the previous generation network system.Therefore,how to choose a suitable and effective interference management scheme becomes an urgent problem for the large-scale commercialization of the 5G.This thesis first introduced the current status of 5G,and gave a detailed description of CLI and the technologies related to interference management.And according to the development vision of green communication,the power control was selected as the optimization direction of interference management.Thr-ough the analysis of the current situation and technical development of TRP(Transmission Reception Point)and UE(User Equipment),the interference among terminals can be improved by the application of Massive MIMO.Therefore,the management of interference in this thesis is mainly on TRP.On this basis,it analyzed the existing protocol schemes and the relevant power control optimization schemes,and proposed the interference management scheme of FSPRC(Feedback Semi-Range Power Control Algorithm).The scheme shortens the whole adjustment process by improving the power step adjustment algorithm.It can be seen from the simulation results that the inter-cell CLI is effectively improved,especially at the low SINR(Signal to Interference plus Noise Ration).Compared with other schemes,it can be seen that the power adjustment regression speed and system throughput performance in the scheme are improved.In order to make the interference management scheme of FSRPC more suitable for cell edge,this thesis proposed an interference management scheme based on Kalman path prediction.The scheme utilized the characteristics of the user's movement path and speed in the same area.According to the prediction,if the user is about to handover or is doing handover,the step size of power control is reduced to ensure that there is no call drop due to abrupt change of power during the handover process;the other users in the cell center continue to use FSRPC.It can be seen from the simulations that the scheme increases SINR in some scenarios and improve the call drop performance by about 10%,which ensures that the user can obtain a good communication experience.