Performance analysis of ultra-dense heterogeneous network switching technology based on region awareness Bayesian decision

The network switching is one of the most important techniques, which keeps continuous communication between two users. A variety of approaches and strategies (such as fuzzy logic control, neural network, smart algorithm etc.) have been proposed to confront this problem. These approaches and strategi...

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Vydané v:	Soft computing (Berlin, Germany) Ročník 24; číslo 23; s. 18203 - 18210
Hlavní autori:	Xie, Chaochen, Zhao, Jianzhou, Guo, Rujing, Li, Li, Lu, Chao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2020 Springer Nature B.V
Predmet:	Algorithms Artificial Intelligence Bandwidths Communication Communications systems Computational Intelligence Control Engineering Fuzzy control Fuzzy logic Mathematical Logic and Foundations Mechatronics Methodologies and Application Multiple criteria decision making Network switching Neural networks Preferences Robotics Switching Utility functions Handover 5G Ultra-dense heterogeneous network Bayesian decision Region awareness
ISSN:	1432-7643, 1433-7479
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Abstract	The network switching is one of the most important techniques, which keeps continuous communication between two users. A variety of approaches and strategies (such as fuzzy logic control, neural network, smart algorithm etc.) have been proposed to confront this problem. These approaches and strategies play an important role in reducing delays, decreasing drop call rates, and improving QoS during switching. However, the existing techniques and strategies often apply to some special scenarios, such as between WLAN and WiFi (or WiMAX, or 3G, or UTMS and LTE). Facing the ultra-dense heterogeneous network in the 5G communication system, this brings great difficulties to the switching, especially how to properly select a service network. Whether the existing methods and strategies are feasible remains to be studied. For solving the switching in a complication networks environment, a novel switching way is proposed in this paper. We adopt the technology of regional awareness and combine with Bayes’ decision strategy to explore the switching of ultra-dense heterogeneous network. This way effectively solves the difficult problem of selecting a service network in the convention. Finally, we analyze the err probability of the proposed way. The experimental results show that our scheme can properly select the switched network in the 5G system, and the probability of the handover error is the lowest, which ensures the rationality and effectiveness of the network handover. Therefore, the proposed way in this paper is feasible.
AbstractList	The network switching is one of the most important techniques, which keeps continuous communication between two users. A variety of approaches and strategies (such as fuzzy logic control, neural network, smart algorithm etc.) have been proposed to confront this problem. These approaches and strategies play an important role in reducing delays, decreasing drop call rates, and improving QoS during switching. However, the existing techniques and strategies often apply to some special scenarios, such as between WLAN and WiFi (or WiMAX, or 3G, or UTMS and LTE). Facing the ultra-dense heterogeneous network in the 5G communication system, this brings great difficulties to the switching, especially how to properly select a service network. Whether the existing methods and strategies are feasible remains to be studied. For solving the switching in a complication networks environment, a novel switching way is proposed in this paper. We adopt the technology of regional awareness and combine with Bayes’ decision strategy to explore the switching of ultra-dense heterogeneous network. This way effectively solves the difficult problem of selecting a service network in the convention. Finally, we analyze the err probability of the proposed way. The experimental results show that our scheme can properly select the switched network in the 5G system, and the probability of the handover error is the lowest, which ensures the rationality and effectiveness of the network handover. Therefore, the proposed way in this paper is feasible.
Author	Li, Li Lu, Chao Zhao, Jianzhou Guo, Rujing Xie, Chaochen
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Cites_doi	10.1109/SURV.2011.082010.00099 10.4018/IJSSCI.2020010104 10.1109/LCOMM.2010.09.092356 10.1109/TKDE.2017.2728531 10.1504/IJHPCN.2019.097054 10.1049/iet-com.2010.0004 10.1109/TNNLS.2016.2582746 10.1007/s11042-017-5092-0 10.1109/SURV.2013.082713.00141 10.1016/j.ejor.2007.07.011 10.1109/TVT.2008.921619 10.1016/j.jocs.2017.11.006 10.1504/IJAHUC.2017.080905 10.1016/j.comcom.2012.07.011 10.1016/j.comcom.2010.09.007 10.1016/j.comnet.2010.02.006 10.14311/NNW.2017.27.001 10.1016/j.comcom.2015.10.011 10.1109/ACCESS.2016.2533394 10.1109/LCOMM.2011.090911.111537 10.1007/s12046-016-0509-4 10.1109/TSUSC.2018.2817043 10.1109/ICISCE.2016.275 10.1109/WiMOB.2015.7348041 10.1109/AINA.2016.33 10.1109/GLOCOM.2007.852 10.1109/VTCFall.2014.6966061
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Snippet	The network switching is one of the most important techniques, which keeps continuous communication between two users. A variety of approaches and strategies...
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StartPage	18203
SubjectTerms	Algorithms Artificial Intelligence Bandwidths Communication Communications systems Computational Intelligence Control Engineering Fuzzy control Fuzzy logic Mathematical Logic and Foundations Mechatronics Methodologies and Application Multiple criteria decision making Network switching Neural networks Preferences Robotics Switching Utility functions
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Title	Performance analysis of ultra-dense heterogeneous network switching technology based on region awareness Bayesian decision
URI	https://link.springer.com/article/10.1007/s00500-020-05077-2 https://www.proquest.com/docview/2917920793
Volume	24
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