QoS Evaluation for LTE-R Based on Grey Clustering Theory

被引：0
|
作者：
Shen, Fengmin [1 ]
机构：
[1] China Railway Signal & Commun Shanghai Engn Bur G, Shanghai 200436, Peoples R China
来源：
PROCEEDINGS OF THE 2013 ASIA-PACIFIC COMPUTATIONAL INTELLIGENCE AND INFORMATION TECHNOLOGY CONFERENCE | 2013年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
For the next generation railway wireless communication system - Long Term Evolution for Rail (LTE-R), its reliability and service quality are thorny issues to be focused by researchers. In this paper, based on the characteristics of LTE-R network system, Grey Clustering Theory has been introduced in to evaluate the QoS of LTE-R network. By showing the basic concept of Grey Clustering Theory, its algorithm in QoS evaluation for LTE-R has been designed; and by case study, the effectiveness of the algorithm has been verified.
引用
收藏
页码：626 / 631
页数：6
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