Research On Interference In TD-LTE Intra-network Based On Current Network Measurement Data

Since the 4G standard TD-LTE commercialization,China Mobile Communications Corporation has become a loyal supporter of the TD-LTE system.Under the leadership of China Mobile Communications Corporation,TD-LTE network construction is rapidly developing in China and TD-LTE network has entered a stage of rapid development.However,With the expansion of the network scale,the deployment of the system is also more and more complicated.At the same time,the interference faced by the system is also getting worse.On the other hand,the TD-LTE system will have serious co-channel interference problems because of the characteristics of the same frequency network of the TD-LTE system.The common TD-LTE intra-network interference includes short-range co-channel interference caused by terminal business,long-range co-channel interference caused by atmospheric duct effect,and interference caused by out-of-step GPS.In the current network interference investigation,usually rely on the existing network measurement data such as network uplink interference indicators,MRO uplink interference indicators and combined with some of the necessary information to determine the location of interference and identification.In this dissertation,an algorithm that can identify the interference in TD-LTE system network based on the uplink interference index of network management is designed to replace the interference troubleshooting method of manual station-by-station.In this paper,the principle of terminal business interference and atmospheric duct interference are firstly studied.Then,the feature of the time domain,frequency domain and spatial domain waveform of terminal business interference and atmospheric duct interference based on network management uplink data is carried out.Finally,Interference recognition algorithm will be designed by these features.In order to verify the proposed algorithm in the paper.For the terminal business interference identification algorithm and atmospheric duct interference identification algorithm,we used the real uplink data of two cities to verify.The verification results show that the two kinds of interference identification algorithms designed in this paper all have high accuracy and can be integrated into the Group Interference Diagnosis Platform to put into use in order to achieve the purpose of improving the efficiency of interference investigation.Finally,the dissertation sums up the respective interference avoidance schemes of terminal business interference and atmospheric duct interference.