Optimization of reconfigurable intelligent surfaces placement for non-reciprocal transmission

Reconfigurable intelligent surfaces (RISs) have emerged as a transformative technology in the sixth-generation (6G) wireless communications. The RIS technology can easily be realized in local area networks and disaster management scenarios where ad-hoc local area networks need to be setup to ensure mission-critical connectivity. The objective of this project is to develop the techniques to optimize the number and placement of RF network devices, such as base stations (access points) and transmissive and reflective RISs, in an indoor environment to achieve optimum wireless network performance. This objective can be achieved by assessing the effectiveness of practically feasible RIS-based systems, considering their real-world constraints, and working to bridge the gap between theoretical expectations and actual outcomes. This involves employing creative strategies and methods to simplify complexity, thereby enabling the deployment of more extensive systems. Furthermore, the implementation of an optimized network presents a chance to lower the total power usage of networks, which directly influences the reduction of greenhouse gas emissions.

Faculty Supervisor:

Wei-Ping Zhu

Student:

Partner:

LATYS

Discipline:

Engineering

Sector:

Information and Communications Technology

University:

Concordia University

Program: