吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (01): 233-238.

Previous Articles     Next Articles

Distribution of cellular data network traffic volumes per cell in unit time

WANG Huan1,2, LEI Zhen-ming1,2, CHEN Lu-ying1,2   

  1. 1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2011-11-14 Online:2013-01-01 Published:2013-01-01

PDF (PC)

293

Abstract: A large number of real data traffic volumes per cell in five minutes at Gn interface of China General Packet Radio Service (GPRS) core network are collected for exploring the traffic model. The results show that most cells at most time of a day are at low speed; on the contrary, a very small number of bursts centralize in a few cells in at a little time. Scaled exponential model is suitable to fit by intuitive Q-Q plot and a related discrepancy measure. Traffic volumes samples at different cells and at different time are adopted to verify the validity of the traffic model. To a certain extent, the above conclusions are found universal.

Key words: communication, packet service, traffic distribution, quantile-quantile plot

CLC Number: 

  • TN98
[1] Leland W E, Taqqu M S, Willinger W, et al. On the self-similar nature of Ethernet traffic (extended version)[J]. IEEE/ACM Transactions on Networking, 1994, 2(1): 1-15.

[2] Karagiannis T, Molle M, Faloutsos M. Long-range dependence: ten years of Internet traffic modeling[J]. IEEE Internet Computing, 2004(8): 57-64.

[3] Willinger W, Alderson D, Doyle J C, et al. More "normal" than normal: scaling distributions and complex systems//Proceedings of the Winter Simulation Conference, 2004.

[4] Karagiannis T, Molle M, Faloutsos M, et al. A nonstationary Poisson view of Internet traffic//Proceedings of IEEE INFOCOM,Hong Kong:IEEE Press,2004.

[5] Downey A B. Evidence for long-tailed distributions in the internet//Proceedings of ACM SIGCOMM Internet Measurment Workshop,2001.

[6] Martin-Löf P. The notion of redundancy and its use as a quantitative measure of the discrepancy between a statistical hypothesis and a set of observational data[J]. Scandinavian Journal of Statistics,1974(1): 3-18.

[7] Paxson V. Empirically derived analytic models of wide-area TCP connections[J]. IEEE/ACM Transactions on Networking, 1994, 2(4): 316-336.

[8] Pederson S P, Johnson M E. Estimating model discrepancy[J]. Technometrics,1990,32:305-314.

[9] Scott D W. On optimal and data-based histograms[J]. Biometrika,1979, 66(3): 605-610.
[1] CHEN Yong-heng,LIU Fang-hong,CAO Ning-bo. Analysis of conflict factors between pedestrians and channelized right turn vehicles at signalized intersections [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1669-1676.
[2] CHANG Shan,SONG Rui,HE Shi-wei,LI Hao-dong,YIN Wei-chuan. Recycling model of faulty bike sharing [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1677-1684.
[3] QU Da-yi,YANG Jing-ru,BING Qi-chun,WANG Wu-lin,ZHOU Jing-chun. Arterial traffic offset optimization based on queue characteristics at adjacent intersections [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1685-1693.
[4] ZHOU Yan-guo,ZHANG Hai-lin,CHEN Rui-rui,ZHOU Tao. Two-level game approach based resource allocation scheme in cooperative networks [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1879-1886.
[5] LIU Xiang-yu, YANG Qing-fang, KUI Hai-lin. Traffic guidance cell division based on random walk algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1380-1386.
[6] LIU Zhao-hui, WANG Chao, LYU Wen-hong, GUAN Xin. Identification of data characteristics of vehicle running status parameters by nonlinear dynamic analysis [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1405-1410.
[7] LUAN Xin, DENG Wei, CHENG Lin, CHEN Xin-yuan. Mixed Logit model for understanding travel mode choice behavior of megalopolitan residents [J]. 吉林大学学报(工学版), 2018, 48(4): 1029-1036.
[8] SUN Xiao-ying, HU Ze-zheng, YANG Jin-peng. Assessment method of electromagnetic pulse sensitivity of vehicle engine system based on hierarchical Bayesian networks [J]. 吉林大学学报(工学版), 2018, 48(4): 1254-1264.
[9] DONG Ying, CUI Meng-yao, WU Hao, WANG Yu-hou. Clustering wireless rechargeable sensor networks charging schedule based on energy prediction [J]. 吉林大学学报(工学版), 2018, 48(4): 1265-1273.
[10] MOU Zong-lei, SONG Ping, ZHAI Ya-yu, CHEN Xiao-xiao. High accuracy measurement method for synchronous triggering pulse transmission delay in distributed test system [J]. 吉林大学学报(工学版), 2018, 48(4): 1274-1281.
[11] DING Ning, CHANG Yu-chun, ZHAO Jian-bo, WANG Chao, YANG Xiao-tian. High-speed CMOS image sensor data acquisition system based on USB 3.0 [J]. 吉林大学学报(工学版), 2018, 48(4): 1298-1304.
[12] CHEN Yong-heng, LIU Xin-shan, XIONG Shuai, WANG Kun-wei, SHEN Yao, YANG Shao-hui. Variable speed limit control under snow and ice conditions for urban expressway in junction bottleneck area [J]. 吉林大学学报(工学版), 2018, 48(3): 677-687.
[13] WANG Zhan-zhong, LU Yue, LIU Xiao-feng, ZHAO Li-ying. Improved harmony search algorithm on truck scheduling for cross docking system [J]. 吉林大学学报(工学版), 2018, 48(3): 688-693.
[14] LI Zhi-hui, HU Yong-li, ZHAO Yong-hua, MA Jia-lei, LI Hai-tao, ZHONG Tao, YANG Shao-hui. Locating moving pedestrian from running vehicle [J]. 吉林大学学报(工学版), 2018, 48(3): 694-703.
[15] CHEN Song, LI Xian-sheng, REN Yuan-yuan. Adaptive signal control method for intersection with hook-turn buses [J]. 吉林大学学报(工学版), 2018, 48(2): 423-429.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd