What if communication networks could understand meaning, not just data? That question is at the center of new research by Mingzhe Chen, PhD, and the answer could help shape the future of wireless technology.
Dr. Chen has received a National Science Foundation CAREER award to advance work on AI-native semantic communication networks, an emerging field that aims to make future wireless systems faster, more efficient, and more adaptive by focusing on the intent and context of information rather than transmitting every bit of raw data.
Dr. Chen, a Knight Foundation Chair in Data Science and AI at the University of Miami Frost Institute for Data Science and Computing (IDSC) and assistant professor in the College of Engineering’s Department of Electrical and Computer Engineering, is developing communication systems designed to prioritize meaning rather than perfect bit-by-bit transmission.
“The project addresses a fundamental limitation in traditional wireless communication systems.”
“The project addresses a fundamental limitation in traditional wireless communication systems,” Dr. Chen said. “They focus on transmitting raw data accurately but ignore the meaning of the data.”
That approach, he said, is becoming less effective for emerging technologies that generate massive amounts of data and require strict performance standards for speed, reliability, and quality of service. Applications such as robotics, digital twins, and mixed reality increasingly rely not just on accurate transmission but on systems that can understand context and intent.
In a robotics application, for example, a semantic communication system might send only essential information such as “obstacle ahead” or “target object located,” rather than transmitting a full video feed. That could reduce bandwidth use while improving speed, reliability, and responsiveness.
Semantic communication, he said, could help enable a new generation of intelligent, adaptive, and human-centered wireless systems with potential benefits for reliability, efficiency, and future 6G services.
“The most exciting aspect is to fundamentally rethink wireless communication design, moving from data transmission to meaning-oriented communication.”
“The most exciting aspect is to fundamentally rethink wireless communication design, moving from data transmission to meaning-oriented communication,” he said. Dr. Chen said the timing is right for this work because recent advances in artificial intelligence have made entirely new approaches possible. Large language models, more powerful GPUs, and AI-driven methods for processing data are opening the door to communication systems that can do more than simply move information from one place to another.
He also sees broad research potential in combining deep learning, reinforcement learning, and communication theory to design semantic encoding, transmission, and resource allocation. Together, these tools could open up an entirely new class of intelligent, adaptive, and more human-centered wireless systems.
The project will not be limited to theory alone. Dr. Chen’s team also plans to evaluate the research through simulations, prototype development, and testing on real-world wireless platforms, helping connect foundational research to practical applications.
“In addition to supporting the technical work, the award will help train students and integrate education into the project over the next five years.”
For Dr. Chen, who has received several NSF grants in recent years, the CAREER award carries special significance as he builds a long-term research program. “Receiving this award represents recognition of both the technical innovation and the long-term vision of redefining artificial intelligence native communication systems,” Dr. Chen said. In addition to supporting the technical work, the award will help train students and integrate education into the project over the next five years.
That educational mission is a central part of the award. Dr. Chen plans to create hands-on opportunities for students to work with prototype equipment and experimental platforms. Undergraduate and graduate students will be involved in the research, and outreach efforts will also engage K-12 learners.
By giving students direct experience with cutting-edge AI and wireless technologies, the project aims to prepare the next generation of engineers and scientists to help build the communication systems of the future.
Ultimately, Dr. Chen believes semantic communication could help usher in a new era of wireless networks designed not just to deliver information but to understand what matters most within it.
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Story by Lauren Comander
