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Related Experiment Video

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Bandwidth Cost Minimization via User Association for Enterprise WLANs.

Xili Wan1, Xinjie Guan2, Wentian Zhao3

  • 1School of Computer Science and Technology, Nanjing Tech University, Nanjing 211816, China. xiliwan@njtech.edu.cn.

Sensors (Basel, Switzerland)
|November 28, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a novel user association technique for enterprise wireless local area networks (E-WLANs) to minimize bandwidth costs for operators. The proposed algorithm efficiently manages user connections, outperforming existing methods.

Keywords:
approximation algorithmbandwidth costenterprise WLANsuser association

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Area of Science:

  • Computer Science
  • Network Engineering
  • Optimization Theory

Background:

  • Enterprise Wireless LANs (E-WLANs) provide essential internet access in high-density environments like airports.
  • Mobile users associate with nearby access points (APs) for service, leading to performance challenges.
  • Existing research focuses on throughput maximization and load balancing for E-WLANs.

Purpose of the Study:

  • To address bandwidth cost minimization for E-WLAN operators.
  • To develop a user association technique focused on operator cost from a unique perspective.
  • To model and solve the joint user association and bandwidth cost minimization problem.

Main Methods:

  • Formulated the problem as a joint user association and cost minimization optimization problem.
  • Developed an approximation algorithm utilizing relaxation and rounding techniques.
  • Analyzed the algorithm's performance bound relative to the optimal solution.

Main Results:

  • The proposed approximation algorithm efficiently solves the complex optimization problem.
  • The algorithm demonstrates a constant performance ratio compared to the theoretical optimum.
  • Simulation results confirm the algorithm's superiority over existing user association schemes.

Conclusions:

  • The developed algorithm effectively minimizes bandwidth costs for E-WLAN operators.
  • This approach offers a novel perspective on optimizing wireless network resource allocation.
  • The findings provide a practical solution for managing costs in high-density wireless networks.