Optimizing STAR-RIS Deployment for Next-Generation Wireless Networks

This research project focuses on improving wireless communication systems by studying and optimizing new technologies called Reconfigurable Intelligent Surfaces (RIS). These surfaces can control how wireless signals travel, helping expand coverage and improve connection quality in urban and rural areas. A special type of RIS, known as STAR-RIS (Simultaneously Transmitting and Reflecting), allows signals to be sent in all directions at once, which can greatly improve network performance.
The intern will work closely with LATYS Intelligence Inc. to develop models and simulations that show how to best place and configure these smart surfaces in real-world environments. The goal is to make wireless networkssuch as 5G and future 6G systemsmore reliable, energy-efficient, and cost-effective. LATYS will use the results to improve their products and bring better wireless solutions to the market. This project also supports the training of a highly skilled graduate student, helping to build Canadas future in advanced wireless technologies.

Faculty Supervisor:

Wei-Ping Zhu

Student:

Partner:

LATYS

Discipline:

Engineering

Sector:

Information and Communication Technology; Technology; Artificial Intelligence

University:

Concordia University

Program: