Tag: Wireless

MIT researchers and their collaborators have developed an innovative transmitter chip that greatly enhances the energy efficiency of wireless communication. This advancement could extend both the range and battery life of connected devices.

The chip uses a distinctive modulation technique to encode digital data into wireless signals, which helps minimize transmission errors and results in more dependable communication.

Its compact and adaptable design allows it to be integrated into current internet-of-things (IoT) devices for immediate performance improvements, while also aligning with the stricter energy demands anticipated in future 6G networks.

Thanks to its flexibility, the chip is ideal for energy-sensitive communication applications, such as industrial sensors that constantly track factory conditions or smart appliances that send real-time alerts.

“We took an unconventional approach and built a smarter, more efficient circuit for next-gen devices—one that even outperforms legacy systems,” says Muriel Médard, NEC Professor of Software Science and Engineering at MIT. “This demonstrates how a modular, adaptable design strategy can foster innovation across all levels.”

Médard co-authored the study with lead author Timur Zirtiloglu, Arman Tan, Basak Ozaydin, Ken Duffy, and Rabia Tugce Yazicigil. The research was recently showcased at the IEEE Radio Frequency Circuits Symposium.

Enhancing Transmission Efficiency

In wireless devices, transmitters convert digital information into electromagnetic signals that travel through the air to a receiver. This involves a process called modulation, where digital bits are mapped to symbols that define the signal’s amplitude and phase.

Conventional systems use uniformly spaced symbols to create a consistent pattern, which helps reduce interference. However, this regular structure isn’t flexible and can be inefficient because wireless environments are often unpredictable and change quickly.

To address this, more advanced modulation methods use non-uniform patterns that can adjust in real time to shifting channel conditions. This allows for higher data throughput with lower energy consumption.

Despite these benefits, optimal modulation techniques are more prone to errors—particularly in noisy or congested wireless environments. The uneven spacing of symbols makes it harder for receivers to accurately separate useful signals from background noise.

MIT Team Adds Symbol Padding to Ensure Consistent Transmission Lengths

To address this challenge, the MIT team designed their transmitter to insert a small amount of padding—extra bits placed between symbols—so that each transmission maintains a consistent length.

The padding helps the receiver identify message boundaries, reducing signal misinterpretation. At the same time, the system retains the energy-saving advantages of using a non-uniform, optimal modulation scheme.

This method builds on a previously developed technique called GRAND—a universal decoding algorithm that works by guessing the noise that may have distorted the transmission.

In this application, a GRAND-based algorithm is used to estimate the added padding bits, allowing the receiver to reconstruct the original message accurately.

“Thanks to GRAND, we can now use a transmitter that supports these more efficient, non-uniform data constellations—and we’re seeing the performance benefits,” says Médard.

An Adaptable Circuit

The new chip features a compact design that allows researchers to incorporate additional techniques for improving efficiency. It enabled transmissions with roughly one-fourth the signal error compared to systems using standard optimal modulation.

Remarkably, it also outperformed traditional modulation methods, achieving significantly lower error rates.

“It was hard not to revert to the familiar, since we were challenging assumptions taught for generations,” says Médard.

This cutting-edge design could enhance both the energy efficiency and reliability of today’s wireless devices, while offering the flexibility needed for future systems that rely on optimal modulation.

Looking ahead, the team plans to expand their approach by integrating further strategies to improve transmission efficiency and reduce error rates even more.

“This optimally modulated RF circuit marks a major leap over traditional designs and is poised to power 6G and future Wi-Fi,” says Rocco Tam, NXP Fellow for Wireless Connectivity.

The research received partial support from the U.S. Defense Advanced Research Projects Agency (DARPA), the National Science Foundation (NSF), and the Texas Analog Center for Excellence.

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Read the original article on: MIT

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