Hybrid Precoding/Combining (HPC) and Self-Interference Cancellation (SIC) for Full-Duplex (FD) Massive-Multiple-Input Multiple-Output (mMIMO) Wireless Communications Systems

The rapid advancement of wireless communications has drastically transformed the world over the last few decades. The next-generation wireless communication systems are expected to support a wide variety of requirements for diverse applications (e.g., the Internet of Things (IoT), industrial IoT (IIoT), autonomous driving, healthcare, virtual/augmented reality). Meeting such stringent requirements will bring significant challenges and require the exploration of new enabling technologies. The objective of this project is to develop advanced and innovative physical layer techniques to satisfy this urgent demand. More specifically, we will focus on the development of intelligent signal processing techniques for full-duplex massive multiple-input multiple-output (FDmMIMO) systems. Toward this end, the combination of artificial intelligent (AI) and convex optimization will be the main tool to analyze and address the design problems.

Intern: 
Asil Koc;Duc Tuong Nguyen;Geng Shao
Faculty Supervisor: 
Tho Le Ngoc
Province: 
Quebec
University: 
Partner University: 
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