用于异构网络的差值门限模糊切换算法

doi:10.3969/j.issn.1001-2400.2011.01.027

J4 ›› 2011, Vol. 38 ›› Issue (1): 165-170.doi: 10.3969/j.issn.1001-2400.2011.01.027

用于异构网络的差值门限模糊切换算法

张天魁¹;邱禹²;冯春燕¹

(1. 北京邮电大学信息与通信工程学院，北京 100876；
2. 普天信息技术研究院有限公司，北京 100080)

收稿日期:2009-12-23 出版日期:2011-02-20 发布日期:2011-04-08
通讯作者: 张天魁
作者简介:张天魁(1980-)，男，讲师，博士，E-mail: zhangtiankui@bupt.edu.cn．
基金资助:
国家自然科学基金资助项目(2003112255);中央高校基本科研业务费资助项目(BUPT2009RC0113)

Difference threshold based fuzzy handover algorithm for heterogeneous networks

ZHANG Tiankui¹;QIU Yu²;FENG Chunyan¹

(1. SICE, Beijing Univ. of Posts and Telecommunications, Beijing 100876， China;
2. Potevio Institute of Technology Co., Ltd., Beijing 100080， China)

Received:2009-12-23 Online:2011-02-20 Published:2011-04-08
Contact: ZHANG Tiankui

摘要/Abstract

摘要：

为了提高用户在异构网络中进行垂直切换的准确度，减少“乒乓效应”，提出了一种差值门限模糊切换算法(Difference Threshold based Fuzzy Handover，DTFH)．DTFH算法考虑异构网络中的切换触发与切换判决两个方面．用户获得当前网络和目标网络的信噪比差值，根据该信噪比差值与设定的切换触发门限的比较结果进行切换触发;然后，采用模糊逻辑方法得到用户当前网络与目标网络的模糊判决值，根据两个网络的模糊判决值之差与设定的切换判决门限的对比结果进行切换判决．以LTE和WiMAX异构网络为仿真场景，仿真结果表明，与传统切换算法相比，DTFH算法能在减少“乒乓效应”的同时，提高用户吞吐量，从而提高垂直切换的性能．

关键词: 异构网络, 垂直切换, 触发, 判决, 模糊逻辑

Abstract:

In order to improve the accuracy of vertical handover and to reduce the “Ping-Pong effect”, a difference threshold based fuzzy handover (DTFH) algorithm is proposed for heterogeneous networks. The handover trigger and handover decision are considered for DTFH. The signal to noise ratio (SNR) gap between the target network and the current network is obtained by the mobile station (MS), and the SNR gap between the two networks is compared with a predefined trigger threshold for handover trigger. Then based on the method of fuzzy logic, the MS gets the fuzzy decision values of the target network and the current network, and the gap between the fuzzy decision values of these two networks is compared with a predefined decision threshold for handover decision. In simulation, a heterogeneous network comprising LTE and WiMAX is used. Compared with traditional handover algorithms, the simulation results show that the DTFH algorithm can reduce the “Ping-Pong effect”, increase the throughput of MS, and improve the performance of vertical handover.

Key words: heterogeneous networks, vertical handover, trigger, decision, fuzzy logic

张天魁;邱禹;冯春燕. 用于异构网络的差值门限模糊切换算法[J]. J4, 2011, 38(1): 165-170.

ZHANG Tiankui;QIU Yu;FENG Chunyan. Difference threshold based fuzzy handover algorithm for heterogeneous networks[J]. J4, 2011, 38(1): 165-170.

参考文献

[1] Buddhikot M, Chandranmenon G, Han S, et al. Integration of 802.11 and 3rd-generation Wireless Data Networks[C]//Proc of the INFOCOM: 1. San Francisco: Institute of Electrical and Electronics Engineers Inc, 2003: 503-512.
[2] 郭强, 朱杰, 徐向华. 一种无线异构网无缝切换控制方案及其仿真分析[J]. 上海交通大学学报, 2004, 38(12): 2026-2029.
Guo Qiang, Zhu Jie, Xu Xianghua. A Seamless Handover Control Scheme of Wireless Heterogeneous Network and Its Simulation Analysis[J]. Journal of Shanghai Jiaotong University, 2004, 38(12): 2026-2029.
[3] 米志超, 鲍民权, 周建江. 传感器网络中基于模糊决策的多目标路由优化算法[J]. 西安电子科技大学学报, 2008, 35(4): 721-725.
Mi Zhichao, Bao Minquan, Zhou Jianjiang. Multi-object Optimization Routing Algorithm Based on Fuzzy Decision Making for Wireless Sensor Networks[J]. Journal of Xidian University, 2008, 35(4): 721-725.
[4] 肖倩, 罗守山, 杨文川, 等. 安全多方模糊综合评判模型及协议[J]. 北京邮电大学学报, 2009, 32(3): 5-9.
Xiao Qian, Luo Shoushan, Yang Wenchuan, et al. Secure Multi-party Fuzzy Comprehensive Evaluation Model and Its Protocol[J]. Journal of Beijing University of Posts and Telecommunications, 2009, 32(3): 5-9.
[5] Yang Kemeng, Gondal I, Qiu Bin, et al. A Fuzzy Adaptive Soft Handover Scheme Supporting Four Active Eets[C]//ICIS 2007, 6th IEEE/ACIS International Conference. Melbourne: Inst of Elec and elec Eng Computer Society, 2007: 147-152.
[6] Majlesi A, Khalaj B H. An Adaptive Fuzzy Logic Based Handoff Algorithm for Interworking Between WLANs and Mobile Networks[C]//Proceedings of the 13th IEEE ISPIMRC'02: Vol 5. Portugal: IEEE, 2002: 2446-2451.
[7] Shum K, Sun C W. Fuzzy Layer Selection Method in Hierarchical Cellular Systems[J]. IEEE Trans on Vehicular Technology, 1999, 48 (6): 1840-1849.
[8] Lin C J, Tsai I T, Lee C Y. An Adaptive Fuzzy Predictor Based Handoff Algorithm for Heterogeneous Network[C]//IEEE Annual Meeting of the Fuzzy Information: Vol 12. Banff: Inst of Elec and Elec Eng Inc, 2004: 944-947.
[9] Liu Xia, Jiang Lingge. A Novel Fuzzy Logic Vertical Handoff Algorithm with Aid of Differential Prediction and Pre-decision Method[C]//IEEE ICC 2007. Glasgow: Inst of Elec and Elec Eng Inc, 2007: 5665-5670.
[10] 3rd Generation Partnership Project. TR 36.938, Improved network controlled mobility between E-UTRAN and 3GPP2/Mobile WiMAX radio technologies V8.0.0[S]. Sophia Antipolis: 3rd Generation Partnership Project, 2008.

[1]	李明,胡江平,曹晓莉. 异构传感网成本优化的节点部署策略[J]. 西安电子科技大学学报, 2021, 48(4): 11-19.
[2]	陆继翔,方博雅. 移动边缘计算的多用户计算卸载研究及实验[J]. 西安电子科技大学学报, 2020, 47(4): 78-85.
[3]	王忍,王翊,胡艳军,蒋芳,许耀华. 超密集异构网络中过载MEC服务器的协作卸载[J]. 西安电子科技大学学报, 2020, 47(2): 126-134.
[4]	屠守中,闫洲,卫玲蔚,朱小燕. 异构社交网络用户兴趣挖掘方法[J]. 西安电子科技大学学报, 2019, 46(2): 83-88.
[5]	喻丽红,赵加祥. 采用最小角回归的稀疏MIMO均衡器设计方法[J]. 西安电子科技大学学报, 2019, 46(1): 73-78.
[6]	李川. MIMO异构网络下行链路干扰对齐[J]. 西安电子科技大学学报, 2018, 45(2): 176-180.
[7]	刘杰;张立民;方君. 二进制缩短BCH码识别新方法[J]. 西安电子科技大学学报, 2017, 44(6): 92-98.
[8]	侯箫剑;许华;曾乐雅. 带有误差反馈结构的多天线变步长均衡算法[J]. 西安电子科技大学学报, 2017, 44(5): 158-164.
[9]	石绍应;王小谟;曹晨;张靖. 规则数确定的自适应模糊分类器[J]. 西安电子科技大学学报, 2017, 44(2): 81-87.
[10]	杜白;李红艳. 一种采用剩余服务时间的异构网络选择算法[J]. J4, 2016, 43(1): 7-11.
[11]	杨兆年;刘红侠;朱嘉;费晨曦. 90nm CMOS工艺下电压触发的ESD检测电路[J]. J4, 2015, 42(3): 54-60.
[12]	孙锦华;韩会梅;朱吉利. SOQPSK-TG信号的简化状态解调器[J]. J4, 2014, 41(5): 1-6+12.
[13]	郑杰;李建东;刘勤;石华;杨小牛. 异构网络中时延最小的多接入业务分配算法[J]. J4, 2014, 41(2): 1-8.
[14]	宋建锋;李建东. 性价比最大化的异构网络博弈选择策略[J]. J4, 2014, 41(1): 18-22.
[15]	赵亮;葛建华. 一种用于单载波MIMO系统的频域迭代接收算法[J]. J4, 2013, 40(3): 166-171.

用于异构网络的差值门限模糊切换算法

Difference threshold based fuzzy handover algorithm for heterogeneous networks

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0