{"title":"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","authors":"","doi":"10.1016/j.asej.2024.102976","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div><div><h3>Objective of the research</h3><p>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.</p></div><div><h3>Research findings</h3><p>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.</p></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":null,"pages":null},"PeriodicalIF":6.0000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2090447924003514/pdfft?md5=ed0cde49238cbc2b0cd17b41e740899d&pid=1-s2.0-S2090447924003514-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Queuing process optimization in software-defined radio: Enhancing system performance and adaptability\",\"authors\":\"\",\"doi\":\"10.1016/j.asej.2024.102976\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div><div><h3>Objective of the research</h3><p>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.</p></div><div><h3>Research findings</h3><p>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.</p></div>\",\"PeriodicalId\":48648,\"journal\":{\"name\":\"Ain Shams Engineering Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2024-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2090447924003514/pdfft?md5=ed0cde49238cbc2b0cd17b41e740899d&pid=1-s2.0-S2090447924003514-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ain Shams Engineering Journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2090447924003514\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ain Shams Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2090447924003514","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
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.
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.