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<p>This article introduces a strategy for reducing network congestion in 5G open radio access networks, with a primary focus on delivering network connectivity to areas with high user activity demands. Ensuring the success of future wireless systems relies significantly on addressing the requirements of such densely populated network areas. Open Radio Access Network (O-RAN), acting a key role in enabling such a network within heterogeneous systems. This paper puts forward a dynamic traffic prediction scheme designed to forecast future traffic demands within the integrated O-RAN framework. Furthermore, it is demonstrated that this strategic approach can efficiently utilize a substantial amount of network devices simultaneously associated within this integrated infrastructure. This paper proposed a dynamic traffic prediction idea to forecast upcoming traffic requirement for O-RAN. On effective utilization of user demand information and available network capacity, this paper conveys adaptable traffic control framework using fuzzy logic optimization. Detailed analyses are performed on various parameters like user level satisfaction, gain consumption and evenhandedness. The results of proposed prediction show that fuzzy logic inspired traffic control framework appreciably improves fairness and obtain assured QoE exclusive of resource consumption. The proposed method able to consume 500&#xa0;kbps significantly, Packet Loss Rate (2.6&#xa0;Mbps), Reliability Success (90%), Throughput (2.8&#xa0;Mbps) and Uploading Time 0.72&#xa0;s/MB.</p>

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Effective Enhancement of Quality of Service Through Data Traffic Minimization In 5G Open Radio Access Backhaul Networks

  • 期刊论文

  • 发表日期：

    2025年8月11日

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  • M. Raja,
  • S. Oudaya Coumar,
  • Satti Harichandra Prasad

摘要

This article introduces a strategy for reducing network congestion in 5G open radio access networks, with a primary focus on delivering network connectivity to areas with high user activity demands. Ensuring the success of future wireless systems relies significantly on addressing the requirements of such densely populated network areas. Open Radio Access Network (O-RAN), acting a key role in enabling such a network within heterogeneous systems. This paper puts forward a dynamic traffic prediction scheme designed to forecast future traffic demands within the integrated O-RAN framework. Furthermore, it is demonstrated that this strategic approach can efficiently utilize a substantial amount of network devices simultaneously associated within this integrated infrastructure. This paper proposed a dynamic traffic prediction idea to forecast upcoming traffic requirement for O-RAN. On effective utilization of user demand information and available network capacity, this paper conveys adaptable traffic control framework using fuzzy logic optimization. Detailed analyses are performed on various parameters like user level satisfaction, gain consumption and evenhandedness. The results of proposed prediction show that fuzzy logic inspired traffic control framework appreciably improves fairness and obtain assured QoE exclusive of resource consumption. The proposed method able to consume 500 kbps significantly, Packet Loss Rate (2.6 Mbps), Reliability Success (90%), Throughput (2.8 Mbps) and Uploading Time 0.72 s/MB.