软件定义无线电中的队列流程优化:提高系统性能和适应性

IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
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引用次数: 0

摘要

软件定义无线电(SDR)系统在现代通信中举足轻重,具有无与伦比的灵活性和适应性。本研究的重点是 SDR 架构中的排队过程,探索优化性能和应对实时信号处理挑战的方法。传统上应用于电信和计算机科学的排队理论,在 SDR 中被应用于信号穿越动态处理流水线的独特特性。SDR 中的排队过程涉及射频前端接收、数字下变频、基带处理和高层协议处理等阶段。噪声、干扰、频率偏移、多径衰减和采样率不匹配等挑战会影响排队系统的效率。本研究调查了动态频谱接入、自适应滤波和信号再处理技术,以减轻这些挑战。研究目的 通过利用队列理论原理,本研究旨在优化资源分配、减少延迟并提高 SDR 队列过程的整体效率。这涉及队列参数的动态调整、自适应调度算法以及智能决策机制的集成。此外,该研究还探讨了排队流程对系统支持各种通信标准和适应不断变化的环境条件的能力的影响。研究成果该研究成果有助于加深对 SDR 系统排队动态的理解,为实时信号处理的潜在改进提供了见解。优化后的排队过程提高了 SDR 系统的响应速度、适应性和可靠性,使其非常适合无线通信、军事行动等领域的各种应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Queuing process optimization in software-defined radio: Enhancing system performance and adaptability

Software-Defined Radio (SDR) systems have become pivotal in modern communication, offering unparalleled flexibility and adaptability. This study focuses on the queuing process within SDR architectures, exploring methods to optimize performance and address challenges in real-time signal processing. Queuing theory, traditionally applied in telecommunications and computer science, is adapted to the unique characteristics of SDR, where signals traverse a dynamic processing pipeline. The queuing process in SDR involves stages such as RF front-end reception, digital down conversion, baseband processing, and higher-layer protocol handling. Challenges, including noise, interference, frequency offset, multipath fading, and sampling rate mismatches, can impact the efficiency of the queuing system. The study investigates techniques for dynamic spectrum access, adaptive filtering, and signal reprocessing to mitigate these challenges.

Objective of the research

By leveraging queuing theory principles, the research aims to optimize resource allocation, reduce latency, and enhance the overall efficiency of the SDR queuing process. This involves dynamic adjustment of queuing parameters, adaptive scheduling algorithms, and the integration of intelligent decision-making mechanisms. Additionally, the study explores the impact of queuing processes on the system’s ability to support various communication standards and adapt to changing environmental conditions.

Research findings

The findings from this research contribute to a deeper understanding of the queuing dynamics in SDR systems, providing insights into potential improvements for real-time signal processing. The optimized queuing process enhances the SDR system’s responsiveness, adaptability, and reliability, making it well-suited for diverse applications in wireless communication, military operations, and beyond.

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来源期刊
Ain Shams Engineering Journal
Ain Shams Engineering Journal Engineering-General Engineering
CiteScore
10.80
自引率
13.30%
发文量
441
审稿时长
49 weeks
期刊介绍: in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance. Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.
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