Assistant Professor, Department of Electrical and Computer Engineering, Université Laval
Member of the Institute of Electrical and Electronic Engineers (IEEE)
Radio-over-fiber for 5G
Telecommunications lays the foundation of today’s information society. The rollout of 5G will greatly benefit Canada by generating billions of additional values to the Canadian economy, thereby playing a pivotal role in driving economic growth and facilitating the recovery from the impact of Covid-19.
5G will also enable a range of new services, from artificial intelligence to autonomous cars and virtual reality, and thus, improve the quality of life for Canadians. It is essential for Canada to reinforce its leading role in the information and communications technologies (ICT) sector. Aiming at developing an ever more cost-effective and spectral-efficient 5G networks, the proposed research program will help achieve this target through advancing state-of-the-art and contributing to training of highly qualified personnel in a sector of immense importance to Canadian economy.
The proposed research program will also provide Canada industry with advanced technologies and manpower, reinforcing Canadian manufacturers advantageous position in global competition.
Intelligent Reflecting Surface Empowered Transmission Techniques for Next-Generation Communication Systems
This program will investigate novel Intelligent Reflecting Surface (IRS) -empowered transmission techniques to realize our long-term goal of increasing the spectral- and energy-efficiencies of next-generation cellular systems, through the following three short-term thrusts:
1) developing novel and low-complexity resource allocation and beamforming techniques for IRS-assisted systems;
2) investigating the integration of IRS with other candidate technologies for next-generation communication systems, such as high frequency communication (i.e., millimeter wave (mmWave) and terahertz (THz)), non-orthogonal multiple access (NOMA), and physical layer security (PLS)
3) analyzing and quantifying the effects of various transmission impairments, such as imperfect channel state information, discrete phase shifts, and random phase noise on the performance of IRS-assisted transmission and developing novel signal processing techniques to combat such impairments.
The proposed research program will provide a systematic framework to address various design issues in IRS-empowered physical layer transmission, and further boost the performance of next-generation cellular systems.
To learn more about Professor Zeng’s research and team, visit the Optical Communications Laboratory website: LCO -Ming Zeng