VO₂ memristor-based frequency converter with in-situ synthesize and mix for wireless internet-of-things

VO₂ memristor-based frequency converter with in-situ synthesize and mix for wireless internet-of-things

19 February 2024 | Chang Liu, Pek Jun Tiw, Teng Zhang, Yanghao Wang, Lei Cai, Rui Yuan, Zelun Pan, Wenshuo Yue, Yaoyu Tao & Yuchao Yang
This study presents a VO₂ memristor-based frequency converter that enables in-situ frequency synthesis and mixing for wireless internet-of-things (WIoT). The converter uses an 8×8 VO₂ memristor array with compact peripheral circuits to synthesize and mix signals at different frequencies. The VO₂ memristor exhibits self-oscillation due to negative differential resistance, and the array is calibrated with resistors and capacitors to achieve precise frequency control. The converter can handle up to 8 channels with frequencies up to 48 kHz. When tested with acoustic, vision, and spatial data in an end-to-end WIoT setup, the VO₂-based converter demonstrates up to 1.45×-1.94× power enhancement compared to conventional CMOS-based converters, with minimal performance degradation. The study highlights the potential of high-quality epitaxially grown VO₂ memristors and programmable memristive arrays for efficient frequency conversion in WIoT systems, offering a promising direction for next-generation WIoT design. The converter's in-situ synthesis and mixing capabilities reduce latency and energy consumption, making it suitable for low-frequency transmission links. The results show that the VO₂-based frequency converter can effectively handle real-world WIoT applications with high performance and reliability.This study presents a VO₂ memristor-based frequency converter that enables in-situ frequency synthesis and mixing for wireless internet-of-things (WIoT). The converter uses an 8×8 VO₂ memristor array with compact peripheral circuits to synthesize and mix signals at different frequencies. The VO₂ memristor exhibits self-oscillation due to negative differential resistance, and the array is calibrated with resistors and capacitors to achieve precise frequency control. The converter can handle up to 8 channels with frequencies up to 48 kHz. When tested with acoustic, vision, and spatial data in an end-to-end WIoT setup, the VO₂-based converter demonstrates up to 1.45×-1.94× power enhancement compared to conventional CMOS-based converters, with minimal performance degradation. The study highlights the potential of high-quality epitaxially grown VO₂ memristors and programmable memristive arrays for efficient frequency conversion in WIoT systems, offering a promising direction for next-generation WIoT design. The converter's in-situ synthesis and mixing capabilities reduce latency and energy consumption, making it suitable for low-frequency transmission links. The results show that the VO₂-based frequency converter can effectively handle real-world WIoT applications with high performance and reliability.
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