系统仿真学报 ›› 2018, Vol. 30 ›› Issue (3): 1144-1153.doi: 10.16182/j.issn1004731x.joss.201803047

• 仿真应用工程 • 上一篇    下一篇

一种异构网络中上下行流公平性优化算法

李沛谕1, 李哲青1, 王辉1, 夏签2   

  1. 1.河南科技大学网络信息中心,河南 洛阳 471023;
    2.河南科技大学信息工程学院,河南 洛阳 471023
  • 收稿日期:2016-03-25 出版日期:2018-03-08 发布日期:2019-01-02
  • 作者简介:李沛谕(1988-),女,河南南阳,硕士,助教,研究方向为网络性能改善、网络信息安全与大数据分析。
  • 基金资助:
    河南省重点攻关项目(112102210186, 132102210246)

A Novel Algorithm for Improving Fairness Between Uplink and Downlink Flows in Heterogeneous Network

Li Peiyu1, Li Zheqing1, Wang Hui1, Xia Qian2   

  1. 1.Network Information Center of Henan University of Science and Technology, Luoyang 471023, China;
    2.College of Information Engineering of Henan University of Science and Technology, Luoyang 471023, China
  • Received:2016-03-25 Online:2018-03-08 Published:2019-01-02

摘要: 针对AP(Access Point)性能优化过程中存在的上下行公平性差的问题,提出了一种保证上下行带宽公平性的优化算法,称为FOUD(Fairness Over Up-flow and Down-flow)智能AP优化算法。该算法部署在AP的MAC层上,利用差错信道下的二维马尔科夫链对AP和无线站点(STA)分别进行建模分析,在考虑最大重传次数与无线误码率对数据帧发送的影响下,推导出不同误码率和不同上下行流数目条件下智能AP的发送概率,通过调节智能AP的最小竞争窗口和发送概率来保证上下行带宽公平性。实验证明:FOUD智能AP优化算法能够有效提高上下行带宽的公平性以及带宽的合理分配。

关键词: 异构网络, 上下行流公平性, 智能AP, 动态概率性发包机制

Abstract: In order to improve the fairness between uplink and downlink flows in AP optimization, a novel algorithm called FOUD(fairness over uplink and downlink) is proposed.Considering the influence of the attempt limit and the bit error rate of wireless, the FOUD algorithm modeling of AP and wireless stations is studied separately by using two-dimensional Markov chain, which derives the probability of data sending under the condition of different bit error rate and different number of uplink and downlink flows. Simulation results show that FOUD can improve the fairness of the uplink and downlink bandwidth as well as the throughput.

Key words: heterogeneous network, fairness between uplink and downlink flows, intelligent AP, dynamic probabilistic sending mechanism

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