CR-GRT:一种针对实时认知无线电应用优化的新型SDR平台

Proceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems Pub Date : 2018-10-25 DOI:10.1145/3242102.3242114

Jun Liu, Haoyang Wu, Zhiwei Li, Boyan Ding, Tao Wang

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引用次数: 0

摘要

认知无线电(CR)技术旨在提供实时感知和高效的动态频谱接入，以提高频谱资源的使用效率。然而，没有一个现有的SDR平台能够在保持高性能和可编程性的同时支持CR应用程序。在本文中，我们提出了CR-GRT，一个为认知无线电应用而设计的SDR平台。CR-GRT支持实时感知、分析、决策和动态调整。它还提供了可扩展性接口。基于CR-GRT，我们实现了一种利用物理层和MAC层信息的综合感知策略。评估结果表明，CR-GRT在高性能和可编程性方面具有优势。

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CR-GRT: A Novel SDR Platform Optimized for Real-time Cognitive Radio Applications

Cognitive radio (CR) technology aims to provide real-time sensing and efficient dynamic spectrum access to improve the efficiency of spectrum resource usage. However, none of the existing SDR platforms is capable of supporting CR applications while maintaining high performance and programmability. In this paper, we propose CR-GRT, an SDR platform designed for cognitive radio applications. CR-GRT supports real-time sensing, analysis, decision-making and dynamic adjustment. It also provides interfaces for extensibility. Based on CR-GRT, we implement a comprehensive sensing strategy using both PHY and MAC information. The evaluation result shows that CR-GRT has advantages in high performance and programmability.

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Proceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

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