基于DA优化模糊神经网络的异构无线网络接入选择算法

doi:10.11959/j.issn.1000-436X.2020230

通信学报 ›› 2020, Vol. 41 ›› Issue (12): 118-127.doi: 10.11959/j.issn.1000-436X.2020230

基于DA优化模糊神经网络的异构无线网络接入选择算法

钱志鸿, 冯一诺, 孙佳妮, 王雪

吉林大学通信工程学院，吉林长春 130012

修回日期:2020-09-21 出版日期:2020-12-25 发布日期:2020-12-01
作者简介:钱志鸿（1957- ），男，吉林长春人，博士，吉林大学教授、博士生导师，主要研究方向为物联网、D2D、Wi-Fi、RFID等无线网络与通信技术。
冯一诺（1995- ），女，吉林四平人，吉林大学硕士生，主要研究方向为异构无线网络。
孙佳妮（1996- ），女，吉林长春人，吉林大学硕士生，主要研究方向为异构无线网络。
王雪（1984- ），女，吉林白山人，博士，吉林大学副教授，主要研究方向为物联网与 D2D 通信技术。
基金资助:
国家自然科学基金资助项目(61771219);吉林大学基础科研基金资助项目(SXGJQY2017-9);吉林大学基础科研基金资助项目(2017TD-19)

Access selection algorithm for heterogeneous wireless network based on DA optimized fuzzy neural network

Zhihong QIAN, Yinuo FENG, Jiani SUN, Xue WANG

College of Communication Engineering, Jilin University, Changchun 130012, China

Revised:2020-09-21 Online:2020-12-25 Published:2020-12-01
Supported by:
The National Natural Science Foundation of China(61771219);Fundamental Research Funds of Jilin University(SXGJQY2017-9);Fundamental Research Funds of Jilin University(2017TD-19)

摘要/Abstract

摘要：

针对异构无线网络的接入选择问题，在考虑用户业务类型和网络状态的前提下，提出了一种基于蜻蜓算法优化模糊神经网络的异构无线网络接入选择算法。针对模糊神经网络收敛速度低的问题，利用蜻蜓算法对模糊神经网络第二层和第五层的隶属度函数参数进行寻优，以得到模糊神经网络隶属度函数参数的初始值。系统根据不同业务类型下用户对网络的偏好程度和网络的输出评分为用户选择最适合的网络。实验结果表明，利用蜻蜓算法优化模糊神经网络能够提高模糊神经网络的收敛速度，提高系统吞吐量，降低接入阻塞率，并在一定程度上减少切换次数。

关键词: 异构无线网络, 接入选择, 模糊神经网络, 蜻蜓算法

Abstract:

To solve the access selection problem of heterogeneous wireless network, an access selection algorithm based on dragonfly algorithm (DA) optimized fuzzy neural network (FNN) was proposed, considering the user’s business type and network state.In view of the low convergence speed of the fuzzy neural network, the dragonfly algorithm was used to optimize the membership function parameters of the second and fifth layers of the fuzzy neural network, so as to obtain the initial value of membership function parameters of the fuzzy neural network.The most suitable network was selected for the users according to their preference to the network and the output score of the network under different business types.The experimental results show that dragonfly algorithm optimization can improve the convergence speed of fuzzy neural network, improve system throughput, reduce blocking rate, and reduce switching times to some extent.

Key words: heterogeneous wireless network, access selection, fuzzy neural network, dragonfly algorithm

中图分类号:

TN92

钱志鸿, 冯一诺, 孙佳妮, 王雪. 基于DA优化模糊神经网络的异构无线网络接入选择算法[J]. 通信学报, 2020, 41(12): 118-127.

Zhihong QIAN, Yinuo FENG, Jiani SUN, Xue WANG. Access selection algorithm for heterogeneous wireless network based on DA optimized fuzzy neural network[J]. Journal on Communications, 2020, 41(12): 118-127.

图/表 11

图1

表1

模糊规则举例"

规则	BW_LTE	D_{LT E}	${BW}_{{WLAN}_{1}}$	$D_{{WLAN}_{1}}$	${BW}_{{WLAN}_{2}}$	$D_{{WLAN}_{2}}$	OUT_LTE	${OUT}_{{WLAN}_{1}}$	${OUT}_{{WLAN}_{2}}$
1	L	M	M	H	M	L	L	M	L
2	M	M	L	H	M	H	M	L	M
3	H	M	H	H	M	M	M	H	M
4	L	L	M	M	L	L	L	M	L
5	M	H	L	M	L	H	M	L	L

表1

图2

表2

图3

图4

图5

图6

图7

图8

图9

参考文献 18

[1]	AHMED A , BOULAHIA L M , GAITI D . Enabling vertical handover decisions in heterogeneous wireless networks:a state-of-the-art and a classification[J]. IEEE Communications Surveys and Tutorials, 2014,16(2): 776-811.
[2]	钱志鸿, 田春生, 郭银景 ,等. 智能网联交通系统的关键技术与发展[J]. 电子与信息学报, 2020,42(1): 2-19.
	QIAN Z H , TIAN C S , GUO Y J ,et al. The key technology and development of intelligent and connected transportation system[J]. Journal of Electronics ＆ Information Technology, 2020,42(1): 2-19.
[3]	BHOSALE S , DARUWALA R . Multi-criteria vertical handoff decision algorithm using hierarchy modeling and additive weighting in an integrated WLAN/WiMAX/UMTS environment- a case study[J]. KSII Transactions on Internet and Information Systems, 2014,8(1): 35-57.
[4]	KHLOUSSY E , GELABERT X , JIANG Y . Investigation on MDP-based radio access technology selection in heterogeneous wireless networks[J]. Computer Networks, 2015,91: 57-67.
[5]	LIU S M , PAN S , MI Z K ,et al. A simple additive weighting vertical handoff algorithm based on SINR and AHP for heterogeneous wireless networks[C]// 2010 International Conference on Intelligent Computation Technology and Automation. Piscataway:IEEE Press, 2010: 347-350.
[6]	LAHBY M , CHERKAOUI L , ADIB A . A novel ranking algorithm based network selection for heterogeneous wireless access[J]. Journal of Networks, 2013,8(2): 263-272.
[7]	FU J , WU J , ZHANG J ,et al. A novel AHP and GRA based handover decision mechanism in heterogeneous wireless networks[C]// International Conference on Information Computing and Applications. Berlin:Springer, 2010: 213-220.
[8]	QUOC-THINH N , GHAMRI-DOUDANE Y , AGOULMINE N . On utility models for access network selection in wireless heterogeneous networks[C]// 2008 IEEE Network Operations and Management Symposium. Piscataway:IEEE Press, 2008: 144-151.
[9]	WANG L S , KUO G S . Mathematical modeling for network selection in heterogeneous wireless networks-a tutorial[J]. IEEE Communications Surveys and Tutorials, 2013,15(1): 271-292.
[10]	范文浩, 元安, 吴帆 . 异构无线网络中多模终端接入选择机制研究[J]. 通信学报, 2012,33(7): 183-190.
	FAN W H , YUAN A , WU F . Research on multi-mode terminal access selection mechanism in heterogeneous wireless networks[J]. Journal on Communications, 2012,33(7): 183-190.
[11]	WU L , SANDRASEGARAN K , ELKASHLAN M . A Markov model for performance evaluation of CRRM algorithms in a co-located GERAN/UTRAN/WLAN scenario[C]// 2010 IEEE Wireless Communications and Networking Conference Workshops. Piscataway:IEEE Press, 2010: 1-6.
[12]	MURAD K , AWAIS A , SHEHZAD K ,et al. Fuzzy based multi-criteria vertical handover decision modeling in heterogeneous wireless networks[J]. Multimedia Tools and Applications, 2017,76: 24649-24674.
[13]	马彬, 李尚儒, 谢显中 . 异构无线网络中基于模糊逻辑的分级垂直切换算法[J]. 电子与信息学报, 2020,42(3): 629-636.
	MA B , LI S R , XIE X Z . A hierarchical vertical handover algorithm based on fuzzy logic in heterogeneous wireless networks[J]. Journal of Electronics ＆ Information Technology, 2020,42(3): 629-636.
[14]	ALOTAIBI N M , ALWAKEEL S S . A neural network based handover management strategy for heterogeneous networks[C]// The 14th IEEE International Conference on Machine Learning and Applications. Piscataway:IEEE Press, 2015: 1210-1214.
[15]	LIANG G , YU H W , GUO X X ,et al. Joint access selection and bandwidth allocation algorithm supporting user requirements and preferences in heterogeneous wireless networks[J]. IEEE Access, 2019,7: 23914-23929.
[16]	MIRIALILI S . Dragonfly algorithm:a new meta-heuristic optimization technique for solving single-objective,discrete,and multi-objective problems[J]. Neural Computing ＆ Applications, 2015,27(4): 1-21.
[17]	石文孝, 范绍帅, 王柟 ,等. 基于模糊神经网络的异构无线网络接入选择算法[J]. 通信学报, 2010,31(9): 151-156.
	SHI W X , FAN S S , WANG R ,et al. Fuzzy neural network based access selection algorithm in heterogeneous wireless networks[J]. Journal on Communications, 2010,31(9): 151-156.
[18]	YANG B T , WANG X , QIAN Z H . A multi-armed bandit model based vertical handoff algorithm for heterogeneous wireless networks[J]. IEEE Communications Letters, 2018,22(10): 2116-2119.

参数	取值
LTE半径/m	500
WLAN₁半径/m	300
WLAN₂半径/m	300
用户数/个	100
用户移动速度/(m·s^-1)	3
LTE带宽/MHz	10～20
LTE时延/ms	60～100
WLAN₁带宽/MHz	10～20
WLAN₁时延/ms	80～100
WLAN₂带宽/MHz	5～10
WLAN₂时延/ms	100～150
实时业务持续时间/s	30
非实时业务持续时间/s	60

基于DA优化模糊神经网络的异构无线网络接入选择算法

Access selection algorithm for heterogeneous wireless network based on DA optimized fuzzy neural network

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