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Access-Selection Algorithm for Heterogeneous Wireless Networks Based on Uncertain Network Attribute Values.

Computational intelligence and neuroscience·2022
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A User-Oriented Intelligent Access Selection Algorithm in Heterogeneous Wireless Networks.

Gen Liang1, Xiaoxue Guo1, Guoxi Sun1

  • 1College of Electronic and Information Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China.

Computational Intelligence and Neuroscience
|December 10, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces an intelligent algorithm for heterogeneous wireless networks (HWNs) to help users select the best network. The developed system optimizes network selection based on user preferences and service characteristics for improved gains.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Wireless Communications

Background:

  • Heterogeneous wireless networks (HWNs) present challenges in optimal network selection for users due to overlapping coverage.
  • Efficiently guiding users to the most suitable network is a critical research area in HWNs.

Purpose of the Study:

  • To design a user-oriented intelligent access selection algorithm for heterogeneous wireless networks (HWNs).
  • To enhance user experience and network performance by enabling selection of the most suitable network based on service characteristics.

Main Methods:

  • The algorithm incorporates five modules: input, user preference calculation, candidate network score calculation, output, and learning.
  • Utilizes a utility function for parameter judgment, fuzzy analysis hierarchy process (FAHP) for user preference weighting, and a fuzzy neural network for network scoring.
  • Employs an error calculation and learning module to refine the fuzzy neural network's membership function parameters.

Main Results:

  • Simulation results demonstrate the algorithm's effectiveness in facilitating optimal network selection for users.
  • The proposed algorithm enables users to achieve higher gains by selecting networks aligned with service characteristics.

Conclusions:

  • The developed intelligent access selection algorithm effectively addresses the challenge of network choice in HWNs.
  • Users can achieve superior outcomes and satisfaction through personalized network selection guided by the algorithm.