Title :
Probability forecasting of burst transmission for IEEE 802.16 BWA systems
Author :
Li, Xiuyuan ; Li, Hengwu ; Li, Lijuan
Author_Institution :
Sch. of Comput. Sci. & Technol., Shandong Econ. Univ., Jinan, China
Abstract :
An efficient forecasting algorithm on burst transmission probability is proposed in this paper. This new algorithm is based on the self-similarity characteristics of burst traffic. Firstly, the algorithm tests the self-similarity by evaluating the Hurst index according to graphical R/S analysis. Secondly, the algorithm adopts the Pareto distribution to analyze the burst transmitted probability. Because of convenient and economical considerations, the analysis of burst transmitted probability is based on groups of data on OFF time periods. Simulation results show this forecasting algorithm can estimate the burst transmitted probability simply and efficiently.
Keywords :
Pareto distribution; broadband networks; forecasting theory; probability; radio access networks; telecommunication standards; telecommunication traffic; Hurst index; IEEE 802.16 BWA systems; Pareto distribution; broadband wireless access systems; burst traffic; burst transmission probability; burst transmitted probability; forecasting algorithm; graphical R/S analysis; probability forecasting; self-similarity characteristics; Algorithm design and analysis; Computational modeling; Estimation; Forecasting; Indexes; Throughput; Time series analysis; Broadband Wireless Access(BWA); IEEE 802.16; Medium Access Control (MAC); Quality of Service(QoS);
Conference_Titel :
Computer Science and Education (ICCSE), 2010 5th International Conference on
Conference_Location :
Hefei
Print_ISBN :
978-1-4244-6002-1
DOI :
10.1109/ICCSE.2010.5593642
