Multiple Attribute Handover in 5G HetNets Based on an Intuitionistic Trapezoidal Fuzzy Algorithm

被引：0

作者：

Liu, Mengyuan ^{[1
]}

Huan, Yibo ^{[1
]}

Zhang, Qixun ^{[1
]}

Lu, Wei ^{[2
]}

Li, Wei ^{[3
]}

Gulliver, T. Aaron ^{[4
]}

机构：

[1] Beijing Univ Posts & Telecommun, Minist Educ, Key Lab Universal Wireless Commun, Beijing, Peoples R China

[2] Keene State Coll, Dept Comp Sci, Keene, NH USA

[3] Northern Illinois Univ, Dept Elect Engn, De Kalb, IL 60115 USA

[4] Univ Victoria, Dept Elect & Comp Engn, Victoria, BC, Canada

来源：

2018 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC WORKSHOPS) | 2018年

基金：

中国国家自然科学基金;

关键词：

Intuitionistic trapezoidal fuzzy; heterogeneous networks; handover scheme;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To satisfy future service demands, heterogeneous networks (HetNets) including 5G new radio (NR), 4G long term evolution (LTE), and wireless local area network (WLAN) must coexist, which makes HetNets handover critical considering user equipment mobility. Therefore, a new multiple attribute handover scheme for 5G HetNets is proposed in this paper. An optimal weight selection algorithm is derived considering the network features, types of services, and user preferences. These weights are used in an intuitionistic trapezoidal fuzzy handover scheme with an optimized candidate list. Results are presented which verify the performance improvement of the proposed handover technique in terms of the network throughput, delay, and handover time.

引用

页码：261 / 266

页数：6

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