Polling Algorithm Based on Traffic Burst Characteristics of Broadband Wireless Access Systems  

Polling Algorithm Based on Traffic Burst Characteristics of Broadband Wireless Access Systems

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作  者:李秀媛 李炜 吴晓娟 张云峰 

机构地区:[1]School of Computer Science and Technology,Shandong Economy University [2]School of Information Science and Engineering,Shandong University [3]Shandong Provincial Key Laboratory of Digital Media Technology

出  处:《Journal of Shanghai Jiaotong university(Science)》2011年第4期429-435,共7页上海交通大学学报(英文版)

基  金:the National Natural Science Foundation of China(No.60675024);the Natural Science Foundation of Shandong(No.Y2008G37) ;the Soft Science Foundation of Shandong(No.2010RKGA1033)

摘  要:In this paper,we propose a novel polling algorithm to decrease the number of idle slots and collission slots during the polling cycle by evaluating the bandwidth request of the subscribe stations(SSs) in the next polling cycle for broadband wireless access(BWA) systems.We firstly analyze the feature of silent time intervals and deduce the Hurst index which symbolizes the degree of self-similarity and long-relative nature.Then we represent the inactive OFF time intervals by the Pareto model and estimate the shape parameterαby the group measured data.Finally we can evaluate the transmission probability of a silent SS before the next polling cycle. By this algorithm,we can find the optimal transmission opportunities for the base station(BS) to achieve the least collision or void timeslots in order to achieve the largest bandwidth efficiency.The theoretical analysis and simulation results show that this polling algorithm can improve the performance for BWA system.In this paper, we propose a novel polling algorithm to decrease the number of idle slots and collission slots during the polling cycle by evaluating the bandwidth request of the subscribe stations (SSs) in the next polling cycle for broadband wireless access (BWA) systems. We firstly analyze the feature of silent time intervals and deduce the Hurst index which symbolizes the degree of self-similarity and long-relative nature. Then we represent the inactive OFF time intervals by the Pareto model and estimate the shape parameter α by the group measured data. Finally we can evaluate the transmission probability of a silent SS before the next polling cycle. By this algorithm, we can find the optimal transmission opportunities for the base station (BS) to achieve the least collision or void timeslots in order to achieve the largest bandwidth efficiency. The theoretical analysis and simulation results show that this polling algorithm can improve the performance for BWA system.

关 键 词:broadband wireless access(BWA) systems polling algorithm bandwidth allocation SELF-SIMILARITY 

分 类 号:TP393.1[自动化与计算机技术—计算机应用技术]

 

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