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

Abstract

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.