基于混沌预测的宽带DVB-RCS卫星接入信道动态分配方案研究

李斗; 姬冰辉; 王峰; 项海格

doi:10.3724/SP.J.1146.2006.01286

基于混沌预测的宽带DVB-RCS卫星接入信道动态分配方案研究

doi: 10.3724/SP.J.1146.2006.01286

基金项目:

国家863计划(2006AA01Z278)资助项目

计量
- 文章访问数: 3296
- HTML全文浏览量: 98
- PDF下载量: 924
- 被引次数: 0
出版历程
- 收稿日期: 2006-08-31
- 修回日期: 2007-05-23
- 刊出日期: 2008-03-19

The Dynamic Allocation of Broadband DVB-RCS Satellite Access Channel Based on Chaotic Prediction

摘要

摘要: 该文概述了基于卫星数字视频广播-反向信道系统(DVB-RCS)标准的宽带卫星通信网的特点，并重点研究了多址接入信道的动态分配策略，在利用混沌理论对网络中的自相似业务流量进行预测的基础上，提出了一种新型混合按需分配多址接入方案。该文还利用OPNET软件建立了仿真系统，用于比较不同方案的性能。仿真结果表明，在高信道负载以及网络中业务流具有较高自相似程度的条件下，该文所提出方案具有更优越的性能。
- 宽带卫星通信; 数字视频广播-反向信道系统; 按需分配多址接入; 混沌预测; 自相似业务
Abstract: This paper provides an overview of broadband satellite communication networks based on Digital Video Broadcasting-Return Channel System (DVB-RCS) standard, with an emphasis on the dynamic allocation of multi-access channel. A novel combined Demand Assignment Multiple Access (DAMA) scheme is proposed, in which chaotic prediction method is employed for self-similar traffic. For comparing the performance of different schemes, OPNET software is used to build a simulation system. Simulation results indicate that the novel scheme has better performance under heavy channel load and when the traffic has high degree of self-similarity.

HTML全文

参考文献(1)

Neale J, Green R, and Landovskis A. Interactive channel formultimedia satellite networks. IEEE CommunicationsMagazine, 2001, 39(3): 192-198.[2]Kota S and Marchese M. Quality of service for satellite IPnetworks: a survey[J].International Journal of SatelliteCommunications and Networking.2003, 21(4-5):303-349[3]ETSI. EN 301 790 V1.4.1. Digital Video Broadcasting(DVB); Interaction channel for satellite distribution systems(Final draft). France, European TelecommunicationsStandards Institute and European Broadcasting Union,2005.[4]Leland W E, Taqqu M S, and Willinger W, et al.. On theself-similar nature of Ethernet traffic (extended version)[J].IEEE/ACM Trans. on Networking.1994, 2(1):1-15[5]Park K and Willinger W. Self-Similar Network Traffic andPerformance Evaluation. New York, John Wiley Sons,2000: 1-38.[6]Ryu B. Modeling and simulation of broadband satellitenetworksPart II: traffic modeling. IEEE CommunicationsMagazine, 1999, 37(7): 48-56.[7]Chiti F, Fantacci R, and Tarchi D, et al.. QoS provisioningin GEO satellite with onboard processing using predictoralgorithms[J].IEEE Wireless Communications.2005, 12(5):21-27[8]Iuoras N and Tho Le-ngoc. Dynamic capacity allocation forquality-of-service support in IP-based satellite networks.IEEE Wireless Communications, 2005, 12(5): 14-20.[9]Erramilli A, Roughan M, Veitch D, and Willinger W.Self-similar traffic and network dynamics. Proceedings of theIEEE, 2002, 90(5): 800-819.[10]Kugiumtzis D. State space reconstruction parameters in theanalysis of chaotic time series- the role of the time windowlength[J].Physica D.1996, 95(1):13-28[11]杨绍清，章新华，赵长安. 一种最大李雅普诺指数估计的稳健算法. 物理学报，2000，49(4): 636-640.Yang S Q, Hang X H, and Zhao C A. A robust method forestimating the largest Lyapunov exponent. Acta PhysicaSinca, 2000, 49(4): 636-640[12]Ryu B and Lowen S. Fractal traffic models for internetsimulation. Proceedings of ISCC 2000, Fifth IEEESymposium on Computers and Communications, Antibes -Juan Les Pins, France, 3-6 July, 2000: 200-206.

施引文献

资源附件(0)

访问统计