Vertical Handover Algorithm Based on Interval Type-2 Fuzzy Neural Network

被引：0
|
作者：
Ma B. [1 ,2 ]
Wang S.-S. [1 ,2 ]
Chen H.-B. [1 ,2 ]
机构：
[1] Institute of Computer Science and Technology, Chongqing University of Post and Telecommunication, Chongqing
[2] Chongqing Key Laboratory of Computer Network and Communication Technology, Chongqing
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2021年 / 49卷 / 05期
关键词：
Fuzziness; Interval type II fuzzy neural network; Randomness; Ultra-dense; Vertical handoff;
D O I：
10.12263/DZXB.20200850
中图分类号：
学科分类号：
摘要：
In the ultra-dense heterogeneous wireless network, the traditional vertical handoff algorithm can not describe the fuzziness and randomness of the network state at the same time, so the network performance can not be effectively improved. A vertical handoff algorithm based on the interval type II fuzzy neural network is proposed to solve above problem. A two-stage decision system is reconstructed: in the network's prescreening stage, the historical access rate is defined to set the threshold combine with the number of current candidate network sets. According to the received signal strength and the remaining available bandwidth, all the networks within the user's receiving range are preliminarily screened; The delay, packet loss rate and bit error rate of the remaining candidate networks are taken as the inputs of the it2fnn in the vertical handoff decision stage. The fuzzy logic reasoning is completed by using the structure of the feedforward neural network, and the output decision value is calculated after the training, and the optimal network is selected. The simulation results show that the algorithm can ensure low time consumption, and effectively reduce the error probability of handoff decision and the number of handoff failures and handoff times. Meanwhile, it can improve the total throughput of networks. © 2021, Chinese Institute of Electronics. All right reserved.
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页码：928 / 935
页数：7
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