Semantic and intelligent physical layer
The vision of this research is to deliver a transformative artificial intelligence and signal processing technology that can make a paradigm shift of wireless communication systems design from the conventionally hand-engineered approaches to AI-engineered (or AI-inspired) approaches. The aim is to develop novel AI technologies for TN and NTN system identification and adaptation, new modulation and coding, semantic token communications, new MIMO, new RF technology, cell-free massive MIMO, integrated sensing and communications, and quantum-grade wireless.
Overview
The key technical scope of this research includes AI/deep learning:
- Aided mmWave technology
- Aided large-massive MIMO technology
- For non-linear wireless systems design
- For non-terrestrial networks and terrestrial networks
- For semantic communication and sensing
- For quantum-grade wireless communication (SISO and MIMO)
- For ultra-reliable and low-latency communication
- Cyber-Physical communication
- For high-accuracy radio positioning and sensing.
Get in contact
If you are interested in this research or have a query then please contact the project lead.
Professor Yi Ma
Project lead for Semantic and Intelligent Physical Layer
Research areas
Take a look at the other research areas we are working on.
