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In the complex world of modern telecommunication networks, Baseband Unit (BBU) pools play a crucial role in optimizing data processing and minimizing response time. This paper presents the Adaptive Queue Dynamics (AQD) scheduling algorithm, a cutting-edge approach specifically tailored for BBU systems. By combining traditional queuing principles with a feedback control mechanism, AQD allows for real-time adaptation to changing network conditions. Through constant monitoring of important system metrics and the use of a real-time feedback loop, AQD is able to intelligently adapt queuing parameters for optimal scheduling. With its ability to dynamically tune and continuously adapt parameters, AQD stands out by enabling the system to swiftly respond to unexpected events or sudden changes, ensuring minimal response time. Mathematical modeling and extensive simulations confirm the effectiveness of AQD in achieving this objective when compared to traditional methods. The AQD approach represents a significant leap forward in telecommunication network efficiency, providing a strong and adaptable solution designed for the demands of modern BBU systems.

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Adaptive Queue Dynamics (AQD): A Novel Scheduling Algorithm for Response Time Minimization in Baseband Unit (BBU) Systems

  • 会议论文

  • 发表日期：

    2025年

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  • Abhishek Malviya,
  • Sudhakar Pandey,
  • Amit Kumar Tiwari

摘要

In the complex world of modern telecommunication networks, Baseband Unit (BBU) pools play a crucial role in optimizing data processing and minimizing response time. This paper presents the Adaptive Queue Dynamics (AQD) scheduling algorithm, a cutting-edge approach specifically tailored for BBU systems. By combining traditional queuing principles with a feedback control mechanism, AQD allows for real-time adaptation to changing network conditions. Through constant monitoring of important system metrics and the use of a real-time feedback loop, AQD is able to intelligently adapt queuing parameters for optimal scheduling. With its ability to dynamically tune and continuously adapt parameters, AQD stands out by enabling the system to swiftly respond to unexpected events or sudden changes, ensuring minimal response time. Mathematical modeling and extensive simulations confirm the effectiveness of AQD in achieving this objective when compared to traditional methods. The AQD approach represents a significant leap forward in telecommunication network efficiency, providing a strong and adaptable solution designed for the demands of modern BBU systems.