Traffic modeling for Short Message Service

• Main Authors: Luo, Chao-Liang, 羅兆良
• Other Authors: Lin, Yi-Bing
• Format: Others
• Language: en_US
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/32921235819735731775

博士 === 國立交通大學 === 資訊科學與工程研究所 === 102 === In the broadband era, narrowband short message service (SMS) is still the most popular wireless data service. Many studies have been conducted to investigate the performance of SMS based on the arrival rates of short messages. From Chunghwa Telecom’s commercial SMS call data records, we observed that even if the SMS arrival rates are the same, the distributions for the number of SMS arrivals per half hour are quite different for various observed days. We further identify that for the SMS traffic in a specific day, there are non-burst and burst periods. We investigate the SMS behaviors in weekdays, weekends, and holidays (specifically, new years’ days and eves). With the assistance of kernel-based fitting method, we derive the SMS arrival number distributions of various traffic types and observed days. Our approach fits each SMS arrival number distribution by three cubic polynomial functions that can accurately capture the SMS behaviors. Based on the SMS arrival number distributions derived from our model, the mobile operators have better understanding about the volumes of short messages in different times and days, which can be used to design more flexible short message charging rates. Based on the huge demand for SMS significantly increases network traffic, it is essential that mobile operators should provide efficient SMS delivery mechanism. We study the short message retransmission policies for single segments SMS and derive some facts about these policies. Then, we propose an analytic model to investigate the short message retransmission performance. The analytic model is validated against simulation experiments. We also collect SMS statistics from a commercial mobile telecommunications network. Our study indicates that the performance trends for the analytic/simulation models and the measured data are consistent. Performance of single-segment messages has been intensively investigated. On the other hand, multi-segment messages (with sizes larger than 140 octets) are seldom evaluated in the literature. We proposes analytic models to study two transmission policies for multi-segment short messages, which are validated by measured data. Then we use a commercial operation example to show how to select the transmission parameters (including the retransmission interval and the maximum number of transmissions) to improve the performance of the SMS delivery. By adjusting these parameters on the commercially operated SMS, the performance has been improved by over 20%. Therefore, our study provides useful guidelines for mobile operators to select appropriate parameters for multi-segment short message delivery. Finally, we show some value-added services in the Next Generation Network (NGN). IP Multimedia Subsystem (IMS) supports IP-based multimedia services through access networks of various wireless and wired access technologies. Through NGN/IMS, we shows how to integrate IPTV with mobile telecommunications networks to offer enhanced IPTV services for mobile subscribers. We use MOD (the IPTV service of Chunghwa Telecom) to illustrate that such integration can be efficiently achieved in the IMS/NGN. We specifically describe the implementations of two IMS/MOD convergence services: short message on TV screen and TV Shopping/Food ordering for mobile users.