Study And Implementation Of Detection And Classification For The Inter-system Interference To TD-LTE

Long Term Evolution (LTE), after a boom of the third generation mobile communications, has become the new international mainstream broadband mobile communications standard and brought the attentions from worldwide mobile network operators. With the large-scale deployments of commercial LTE networks, inter-system interference between various domestic mobile network systems is becoming an increasingly prominent issue. TD-LTE, introduced as a new system, needs to coexist with the current2G and3G mobile networks, including GSM, TD-SCDMA, WCDMA, CDMA2000, PHS, and WLAN etc.In the current network testing solutions, the manual interference investigation at base station is widely adopted to analyze the inter-system interference towards LTE cells. However, this method is obviously inefficient and consumes a lot of efforts and resources due to the large-scale of LTE base stations. To achieve the goal of automating the whole inter-system interference detection process, saving substantial efforts and resources, and improving the efficiency of investigation, this paper extracts the interference waveform features on F-band, proposes a TD-LTE inter-system interference detection algorithm based on these features, and explains the design and implementation of TD-LTE inter-system interference detection and classification. In this paper, the mainly work is divided into following three parts:1Based on the generation mechanisms of all three types of interference type (namely, intermodulation interference, barrage jamming and spurious emission interference) and their waveform features on F-band, this paper proposes the extraction method of waveform features including parts of carrier high class, overall uplift class and roll-off class.2Base on the F-band interference waveform features, this paper proposes a TD-LTE inter-system interference detection algorithm, which can detect the intermodulation interference, barrage jamming and spurious emission interference with the base station site information matching method.3Based on the TD-LTE inter-system interference detection algorithm, this paper designs "TD-LTE inter-system interference detection and classification" software, which runs under.NET Framework4.0environment and in C#language. The software contains the system modules of bulk data import, same base station information matching, and interference type detection, which achieves the goal of automating the detection and classification of inter-system interference intelligently.This paper collected data of up RB background noise from3562cells to test the software. Experimental results show that the proposed algorithm can effectively achieve the type of interference waveform feature extraction, and recognition software can interfere with the effective realization of automation and intelligent identification.