Rapid Processing Methods of Measurement Reports in LTE Network

Abstract

Measurement reports (MR) are files generated by User Equipment and ENODEB which indicate the channel quality and are important for LTE network optimization. However, it is hard to process MR files for algorithm studies quickly and easily. Based on the special structure of MR files, this paper presents and compares three MR parsing methods based on C# and expatiates detailed operations by giving examples in different working scenes. The result shows that using these methods can greatly speed up the verification work of network optimization algorithm and has a guiding significance for large-scale optimization job for one province or even for the whole country.