A Software Defined Radio Testbed for Over-the-air Cognitive Cycle Demonstration

Wu, Jiapeng; Du, Panfei; Zhang, Zihao; Wang, Qing

doi:10.1109/sam48682.2020.9104357

Cited by 1 publication

(2 citation statements)

References 13 publications

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“…Several platforms have been developed to integrate AI into the network. In [3], [4], and [6], the authors propose an SDR testbed platform for AI signal recognition and body move-ment using CSI. The platform demonstrates real-world performance but lacks software development flexibility across platforms; [3], and [4] focus on the development of MAT-LAB environments, while [6] proposes a system implemented using only Python.…”

Section: Related Workmentioning

confidence: 99%

“…In [3], [4], and [6], the authors propose an SDR testbed platform for AI signal recognition and body move-ment using CSI. The platform demonstrates real-world performance but lacks software development flexibility across platforms; [3], and [4] focus on the development of MAT-LAB environments, while [6] proposes a system implemented using only Python. In [5] presents a testbed platform that integrates AI in a radio access network using virtualized network functions.…”

Section: Related Workmentioning

confidence: 99%

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A Unified Software and Hardware Platform for Machine Learning Aided Wireless Systems

ICHWANA PUTRA,

HARRY BINTANG PRATAMA,

ISSHIKI

et al. 2023

IEICE Trans. Fundamentals

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This paper presents a unified software and hardware wireless AI platform (USHWAP) for developing and evaluating machine learning in wireless systems. The platform integrates multi-software development such as MATLAB and Python with hardware platforms like FPGA and SDR, allowing for flexible and scalable device and edge computing application development. The USHWAP is implemented and validated using FPGAs and SDRs. Wireless signal classification, wireless LAN sensing, and rate adaptation are used as examples to showcase the platform's capabilities. The platform enables versatile development, including software simulation and real-time hardware implementation, offering flexibility and scalability for multiple applications.

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