A statistic approach for deriving the short message transmission delay distributions

Hui-Nien Hung; Yi-Bing Lin; Ming Kun Lu; Nan Fu Peng

doi:10.1109/TWC.2004.837649

A statistic approach for deriving the short message transmission delay distributions

Hui-Nien Hung^*, Yi-Bing Lin, Ming Kun Lu, Nan Fu Peng

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Short Message Service (SMS) is one of the most popular mobile data services. This paper develops a web-based short message system and analyzes the short message transmission delays based on 40 000 measured data collected from commercial operation. We investigate the distributions of SMS round-trip transmission delays. These distributions are roughly approximated by truncated normal, gamma, log-normal, and Weibull distributions with various parameters, which can be utilized in theoretical analysis. Furthermore, with the nonparametric fitting approach, we use the rejection method to develop random number generators for these delays, which can be used in any simulation models that employ SMS transmission delays.

Original language	American English
Pages (from-to)	2345-2352
Number of pages	8
Journal	IEEE Transactions on Wireless Communications
Volume	3
Issue number	6
DOIs	https://doi.org/10.1109/TWC.2004.837649
State	Published - Nov 2004

Keywords

Mobile telecommunications network
Random number generator
Short message service
Transmission delay

Access to Document

10.1109/TWC.2004.837649

Cite this

@article{840fc16cc11e4370997ab8b1c2724295,

title = "A statistic approach for deriving the short message transmission delay distributions",

abstract = "Short Message Service (SMS) is one of the most popular mobile data services. This paper develops a web-based short message system and analyzes the short message transmission delays based on 40 000 measured data collected from commercial operation. We investigate the distributions of SMS round-trip transmission delays. These distributions are roughly approximated by truncated normal, gamma, log-normal, and Weibull distributions with various parameters, which can be utilized in theoretical analysis. Furthermore, with the nonparametric fitting approach, we use the rejection method to develop random number generators for these delays, which can be used in any simulation models that employ SMS transmission delays.",

keywords = "Mobile telecommunications network, Random number generator, Short message service, Transmission delay",

author = "Hui-Nien Hung and Yi-Bing Lin and Lu, {Ming Kun} and Peng, {Nan Fu}",

year = "2004",

month = nov,

doi = "10.1109/TWC.2004.837649",

language = "American English",

volume = "3",

pages = "2345--2352",

journal = "IEEE Transactions on Wireless Communications",

issn = "1536-1276",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "6",

}

TY - JOUR

T1 - A statistic approach for deriving the short message transmission delay distributions

AU - Hung, Hui-Nien

AU - Lin, Yi-Bing

AU - Lu, Ming Kun

AU - Peng, Nan Fu

PY - 2004/11

Y1 - 2004/11

N2 - Short Message Service (SMS) is one of the most popular mobile data services. This paper develops a web-based short message system and analyzes the short message transmission delays based on 40 000 measured data collected from commercial operation. We investigate the distributions of SMS round-trip transmission delays. These distributions are roughly approximated by truncated normal, gamma, log-normal, and Weibull distributions with various parameters, which can be utilized in theoretical analysis. Furthermore, with the nonparametric fitting approach, we use the rejection method to develop random number generators for these delays, which can be used in any simulation models that employ SMS transmission delays.

AB - Short Message Service (SMS) is one of the most popular mobile data services. This paper develops a web-based short message system and analyzes the short message transmission delays based on 40 000 measured data collected from commercial operation. We investigate the distributions of SMS round-trip transmission delays. These distributions are roughly approximated by truncated normal, gamma, log-normal, and Weibull distributions with various parameters, which can be utilized in theoretical analysis. Furthermore, with the nonparametric fitting approach, we use the rejection method to develop random number generators for these delays, which can be used in any simulation models that employ SMS transmission delays.

KW - Mobile telecommunications network

KW - Random number generator

KW - Short message service

KW - Transmission delay

UR - http://www.scopus.com/inward/record.url?scp=11844286346&partnerID=8YFLogxK

U2 - 10.1109/TWC.2004.837649

DO - 10.1109/TWC.2004.837649

M3 - Article

AN - SCOPUS:11844286346

SN - 1536-1276

VL - 3

SP - 2345

EP - 2352

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

IS - 6

ER -

A statistic approach for deriving the short message transmission delay distributions

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this