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

Abstract

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

CLC Number:

TN92

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.

Figures/Tables 11

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

References 18

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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

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

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