GSM-MR compression algorithm with two step sorting based on similarity analysis

Fei Cheng; Kai Liu; Jin Zhang; Wenwen Ding; Yunsong Li

doi:10.1117/12.2180774

21 May 2015 GSM-MR compression algorithm with two step sorting based on similarity analysis

Fei Cheng, Kai Liu, Jin Zhang, Wenwen Ding, Yunsong Li

Author Affiliations +

Proceedings Volume 9501, Satellite Data Compression, Communications, and Processing XI; 95010A (2015) https://doi.org/10.1117/12.2180774
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, Maryland, United States

Abstract

Collecting reliable and accurate MR data on time plays a vital role in the mobile communication network optimization. However, with the increment of the number of mobile users, network bandwidth cannot meet with mass transfer of MR. A high performance and high compression ratio GSM-MR compression algorithm is proposed to gain better transfer time. This algorithm utilizes two step sorting in order to reduce the distance between similar content, based on the analytic result about similarities of GSM-MR data sorting by different fields. Experimental results reveal that the algorithm does not only decrease compression consuming time, but also ascends compression ratio with the increment of the size of compression data.

Citation Download Citation

Fei Cheng, Fei Cheng, Kai Liu, Kai Liu, Jin Zhang, Jin Zhang, Wenwen Ding, Wenwen Ding, Yunsong Li, Yunsong Li, } "GSM-MR compression algorithm with two step sorting based on similarity analysis", Proc. SPIE 9501, Satellite Data Compression, Communications, and Processing XI, 95010A (21 May 2015); doi: 10.1117/12.2180774; https://doi.org/10.1117/12.2180774

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