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Updated: Aug 25, 2025

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
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Self-Optimizing Traffic Steering for 5G mmWave Heterogeneous Networks.

Jun Zeng1,2, Hao Wang3,4, Wei Luo1

  • 1The School of Electrical Information, Wuhan University, Wuhan 430072, China.

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|October 14, 2022
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Summary

This study introduces a triple-band network structure and traffic steering strategy for 5G heterogeneous networks. The proposed system enhances system throughput and energy efficiency for mobile users by intelligently managing millimeter wave (mmWave) and other spectrum bands.

Keywords:
5G heterogeneous networkmmWave communicationself-optimizationtraffic steering

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Area of Science:

  • Wireless Communications
  • Network Engineering
  • Telecommunications

Background:

  • Growing mobile traffic necessitates enhanced wireless network capacity.
  • Millimeter wave (mmWave) communications offer high capacity but face coverage and mobility challenges.
  • 5G heterogeneous networks utilize ultra-dense small cells for mmWave deployment.

Purpose of the Study:

  • To summarize the characteristics of 5G heterogeneous networks.
  • To propose a novel triple-band network structure integrating licensed, sub-6GHz unlicensed, and mmWave bands.
  • To develop a self-optimizing traffic steering strategy for dynamic network environments.

Main Methods:

  • Analysis of 5G heterogeneous network characteristics (devices, spectra, networks).
  • Proposal of a triple-band network architecture.
  • Development of an intelligent traffic steering strategy based on network and traffic conditions.

Main Results:

  • The proposed triple-band network structure effectively supports diverse mobile users.
  • The self-optimizing traffic steering strategy intelligently directs traffic across different bands.
  • Numerical results demonstrate significant enhancement in system throughput and energy efficiency.

Conclusions:

  • The proposed triple-band network structure and traffic steering strategy are effective for 5G heterogeneous networks.
  • This approach addresses mmWave limitations and optimizes resource utilization.
  • The findings facilitate improved wireless communication performance and energy efficiency.