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Proceedings Paper

GSM-MR compression algorithm with two step sorting based on similarity analysis
Author(s): Fei Cheng; Kai Liu; Jin Zhang; Wenwen Ding; Yunsong Li
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Paper 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.

Paper Details

Date Published: 21 May 2015
PDF: 9 pages
Proc. SPIE 9501, Satellite Data Compression, Communications, and Processing XI, 95010A (21 May 2015); doi: 10.1117/12.2180774
Show Author Affiliations
Fei Cheng, Xidian Univ. (China)
Kai Liu, Xidian Univ. (China)
Jin Zhang, Xidian Univ. (China)
Wenwen Ding, Xidian Univ. (China)
Huaibei Normal Univ. (China)
Yunsong Li, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 9501:
Satellite Data Compression, Communications, and Processing XI
Bormin Huang; Chein-I Chang; Chulhee Lee; Yunsong Li; Qian Du, Editor(s)

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