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July 2, 2026Open Access

Novel Intelligent Sector-Based Approach for Congestion and Interference-Aware Load Balancing In 5G Heterogeneous Networks

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Authors

NMNwadike Ijeoma M.UAUgwu Edith AngellaOPOboti Nwamaka Peace

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Overview

Randomized trial finds improved congestion and interference management in 5G networks, suggesting enhanced performance.

Key Points

  • This paper aims to develop an intelligent sector-based approach for managing congestion and interference in 5G heterogeneous networks.
  • Data collection from 5G HetNet traffic in Enugu Sub-urban, Nigeria.
  • Five machine learning models trained and validated with respective metrics including MSE and R2.
  • A novel intelligent sector-based approach, termed Intelligent Sector Based (ISB), was integrated and simulated against a benchmark.
  • XGB model achieved MSE of 0.0008, RMSE of 0.0291, and R2 of 0.9966.
  • The ISB showed 31.5% improvement in congestion management and 55.9% noise reduction compared to Static Sector Based (SSB).
  • ISB outperformed existing models, showing 5.905% enhancement over Deep Reinforcement Learning in signal-to-noise ratio.

Cite This Study

M. et al. (2026) studied this question.

synapsesocial.com/papers/6a45fffc9ed13430313103eahttps://doi.org/10.5281/zenodo.21062610
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