Powering small electronics with Wi-Fi

Thursday, 03 June, 2021

Powering small electronics with Wi-Fi

Researchers from the National University of Singapore (NUS) and Tohoku University have developed technology that uses tiny smart devices known as spin-torque oscillators (STOs) to harvest and convert wireless radio frequencies into energy to power small electronics. As described in the journal Nature Communications, the researchers harvested energy using Wi-Fi-band signals to power a light-emitting diode (LED) wirelessly, and without using any battery.

With the rise of the digital age, the number of Wi-Fi sources to transmit information wirelessly between devices has grown exponentially. This results in the widespread use of the 2.4 GHz radio frequency that Wi-Fi uses, with excess signals available to be tapped for alternative uses. As noted by NUS Professor Hyunsoo Yang, who spearheaded the new project, “We are surrounded by Wi-Fi signals, but when we are not using them to access the internet they are inactive, and this is a huge waste.”

STOs, meanwhile, are a class of emerging devices that generate microwaves, and have applications in wireless communication systems. However, the application of STOs is hindered due to a low output power and broad linewidth.

While mutual synchronisation of multiple STOs is a way to overcome this problem, current schemes — such as short-range magnetic coupling between multiple STOs — have spatial restrictions. On the other hand, long-range electrical synchronisation using vortex oscillators is limited in frequency responses of only a few hundred MHz. It also requires dedicated current sources for the individual STOs, which can complicate the overall on-chip implementation.

To overcome the spatial and low frequency limitations, the research team came up with an array in which eight STOs are connected in series. Using this array, the 2.4 GHz electromagnetic radio waves that Wi-Fi uses were converted into a direct voltage signal, which was then transmitted to a capacitor to light up a 1.6 V LED. When the capacitor was charged for five seconds, it was able to light up the same LED for one minute after the wireless power was switched off.

The researchers also highlighted the importance of electrical topology for designing on-chip STO systems, and compared the series design with the parallel one. They found that the parallel configuration is more useful for wireless transmission due to better time-domain stability, spectral noise behaviour and control over impedance mismatch. On the other hand, series connections have an advantage for energy harvesting due to the additive effect of the diode-voltage from STOs.

“Aside from coming up with an STO array for wireless transmission and energy harvesting, our work also demonstrated control over the synchronising state of coupled STOs using injection locking from an external radiofrequency source,” said NUS’s Dr Raghav Sharma, first author on the study. “These results are important for prospective applications of synchronised STOs, such as fast-speed neuromorphic computing.”

To enhance the energy-harvesting ability of their technology, the researchers are looking to increase the number of STOs in the array they had designed. In addition, they are planning to test their energy harvesters for wirelessly charging other useful electronic devices and sensors. The team also hope to work with industry partners to explore the development of on-chip STOs for self-sustained smart systems, which can open up possibilities for wireless charging and wireless signal detection systems.

“Our latest result is a step towards turning readily available 2.4 GHz radio waves into a green source of energy, hence reducing the need for batteries to power electronics that we use regularly,” Prof Yang said. “In this way, small electric gadgets and sensors can be powered wirelessly by using radiofrequency waves as part of the Internet of Things. With the advent of smart homes and cities, our work could give rise to energy-efficient applications in communication, computing and neuromorphic systems.”

Image caption: Professor Hyunsoo Yang and Dr Raghav Sharma showcase a chip embedded with about 50 spin-torque oscillators.

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