Monet: Millimeter-wave Communication and Sensing Integration

The Monet VIP team aims to design a millimeter-wave (mmWave) communication system with integrated radar sensing capability for applications such as autonomous vehicles and remote healthcare.

Autonomous vehicles wirelessly communicating with each other

Goals:
This project aims to design a millimeter-wave (mmWave) communication system with integrated radar sensing capability. As a promising technology, radio communication at mmWave frequencies, particularly between 24 to 32 GHz, can meet the data rate demand of future generations of wireless networks. Unfortunately, the mmWave bands are often used by short-range radar sensors essential for applications such as autonomous vehicles and remote healthcare. Introducing a separate communication system in these bands would strain the spectrum congestion, leading to suboptimal performance for both communication and sensing. To address this issue, Monet aims to unify mmWave radar and communication functions via the multiple-input and multiple-output (MIMO) technique augmented by reconfigurable reflective arrays to achieve reliable communication and accurate radar sensing.

 

Key elements:
mmWave, multipath, phased array, reconfigurable MIMO, Rayleigh's criterion, intelligent reflecting surface, Fresnel zone analysis

 

Research issues:
Increase mmWave Channel Multipath: The mmWave channel lacks multipath, which precludes effective MIMO spatial multiplexing and causes interference between communication and sensing functions. Monet designs several low-cost reconfigurable reflective arrays to create artificial multipath and algorithms to control the angle and spread of the reflecting multipath, hence maximizing the MIMO spatial multiplexing gain.

Decouple mmWave Channel Correlation: Many Monet applications provide limited space for MIMO antenna arrays, which correlates signal receptions and causes interference between communication and sensing functions. Monet designs several reconfigurable antenna arrays with diverse beam patterns/directions to decouple channel correlations and algorithms to optimize the arrays' beam configurations based on the observed multipath profile, hence maximizing the MIMO channel condition.

 

Links:
External Site: http://www2.hawaii.edu/~yaozheng/project/research/vip_mmwave_comm_and_sensg_integtn/

Meeting time:
Thursdays, 3:00 PM, Holmes Hall 488.

Advisors:
Yao Zheng, Yingfei Dong, Aaron Ohta, Wayne Shiroma, and June Zhang

Majors, preparation, interests:
Electrical and Computer Engineering

Contact information:
Yao Zheng: yaozheng@hawaii.edu