Smaller Chips Open Door to New RFID Applications

Researchers at North Carolina State University have made what is believed to be the smallest state-of-the-art RFID chip, which should drive down the cost of RFID tags. In addition, the chip’s design makes it possible to embed RFID tags into high value chips, such as computer chips, boosting supply chain security for high-end technologies.

“As far as we can tell, it’s the world’s smallest Gen2-compatible RFID chip,” says Paul Franzon, corresponding author of a paper on the work and Cirrus Logic Distinguished Professor of Electrical and Computer Engineering at NC State.

Gen2 RFID chips are state of the art and are already in widespread use. One of the things that sets these new RFID chips apart is their size. They measure 125 micrometers (μm) by 245μm. Manufacturers were able to make smaller RFID chips using earlier technologies, but Franzon and his collaborators have not been able to identify smaller RFID chips that are compatible with the current Gen2 technology.

“The size of an RFID tag is largely determined by the size of its antenna – not the RFID chip,” Franzon says. “But the chip is the expensive part.”

The smaller the chip, the more chips you can get from a single silicon wafer. And the more chips you can get from the silicon wafer, the less expensive they are.

“In practical terms, this means that we can manufacture RFID tags for less than one cent each if we’re manufacturing them in volume,” Franzon says.

That makes it more feasible for manufacturers, distributors or retailers to use RFID tags to track lower-cost items. For example, the tags could be used to track all of the products in a grocery store without requiring employees to scan items individually.

The paper, “A 125μm×245μm Mainly Digital UHF EPC Gen2 Compatible RFID tag in 55nm CMOS process,” was presented April 29 at the IEEE International Conference on RFID. The paper was co-authored by Wenxu Zhao, who worked on the project as a Ph.D. student at NC State; and Shepherd Pitts, who worked on the project while a research assistant professor at NC State.

The work was done with support from the National Science Foundation, under grant 1422172; and from NC State’s Chancellor’s Innovation Fund.