I have a general interest in wireless signal processing for communications and sensing. Recenlty, collaborating with my colleagues and collaborators, we have been mainly focusing on the following emerging technologies.

** INTEGRATED SENSING AND COMMUNICATIONS (ISAC, aka, Joint Communications and Sensing, JCAS)

Wireless signals and mobile devices are almost everywhere today. Enormous information associated with human behaviour, moving objects and environmental change is embedded in these wireless signals. We are developing advanced information harvesting techniques that can extract information from, e.g., mobile, WiFi and even TV broadcasting signals, without affecting the communications functions. We are also designing advanced signals and protocols which allow communications and sensing to be better implemented jointly and to benefit from each other. This research also involves cross-disciplinary technologies such as SLAM (control technology) and machine learning (data analytics). At the moment, our particular focuses are on Perceptive Mobile/Cellular Networks, WiFi sensing, and Perceptive mmWave systems (for vehicular networks) based on joint communication and radio sensing techniques.

Collaborating with external partners, in one project, we are studying how to evolve modern communication-only mobile networks (such as 5G) to one with integrated communication and radio sensing capability, by sharing the transmitted signals and most of the system modules. In another project, we are developing WiFi sensing system for smart home with integrated health, safety and security applications.
More details on our research in this area can be seen from my Google Site.

Some demonstration videos can be accessed via the link below (Youtube videos).

1. WiFi-based Multi-target Tracking 
2. WiFi-based Combined Single-target Tracking, and Breathing and Heartbeat Detection 
3. WiFi-based Gesture Recognition 
4. WiFi ESP32 (a simple WiFi device) based Sensing
5.  Wifi-based Behaviour Recognition
6.  Media Report on our Mobile Network-based Water Level and Rainfall Sensing for Flood Monitoring

** MILLIMETER WAVE MASSIVE HYBRID ARRAY

MmWave massive hybrid antenna array is an attractive solution that balances the system performance, complexity and cost for 5G cellular communications. A typical hybrid array consists of multiple analog subarrays. Thanks to the sparsity of mmWave propagation channels, a hybrid array can achieve both high array (spatial diversity) gain and large spatial multiplexing gain. The special architecture of a hybrid array provides great flexibility for beamforming design, and demands new hybrid precoding/combining algorithms. In this research, we are developing key enabling techniques for practical mmWave 5G communications, with focus on channel estimation, analog (RF) and digital precoding and combining algorithms with balanced complexity and performance. We are also deveoping radio sensing techniques based on this platform.

I have received $8M+ research funding through 20+ projects since 2016. Below is a list of some of the projects.