TITLE:
Radio Link Parameters Based QoE Measurement of Voice Service in GSM Network
AUTHORS:
Wenzhi Li, Jing Wang, Zesong Fei, Yuqiao Ren, Xiao Yang, Xiaoqi Wang
KEYWORDS:
QoE; Speech Quality Assessment; Voice Service; Regression Analysis; PCA; GSM
JOURNAL NAME:
Communications and Network,
Vol.5 No.3C,
October
4,
2013
ABSTRACT: Recently, Quality of Experience (QoE) of voice service
has been paid more attentions because it represents the performance of voice
service subjectively perceived by the end users. And speech quality is commonly
used to measure the QoE value. In this paper, a speech quality assessment
algorithm is proposed for GSM network, aiming to predict and monitor QoE of
voice service based on radio link parameters with low complexity for operators.
Multiple Linear Regression (MLR) and Principal Component Analysis (PCA) are
combined and used to establish the mapping model from radio link parameters to
speech quality. Data set for model training and testing is obtained from real
commercial network of China Mobile. The experimental results show that with
sufficient training data, this algorithm can predict radio speech quality with
high accuracy and could be used to monitor speech quality of mobile network in
real time.