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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Soft computing (Berlin, Germany) Jg. 24; H. 23; S. 18203 - 18210
Hauptverfasser: Xie, Chaochen, Zhao, Jianzhou, Guo, Rujing, Li, Li, Lu, Chao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2020
Springer Nature B.V
Schlagworte:
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
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-020-05077-2