Research

Computer Sciences and Information Technology

Title :

Analytically and Experimentally Developed Metagratings-Based Reconfigurable Intelligent Surfaces for Creating Smart Radio Environments in 6G Applications

Area of research :

Computer Sciences and Information Technology

Principal Investigator :

Dr. Sreenath Reddy Thummaluru, Indian Institute Of Information Technology, Design And Manufacturing, Kancheepuram, Tamil Nadu

Timeline Start Year :

2022

Timeline End Year :

2024

Contact info :

Equipments :

Details

Executive Summary :

The wireless environment until 5G is uncontrollable and requires optimizing communication endpoints based on feedback from the output section. In the upcoming smart radio environment (SRE), scatterers placed across the channel send feedback to the transmitter and receiver sections, optimizing both communication endpoints and scatterers. These scatterers are called reconfigurable intelligent surfaces (RISs). Recent advancements in metasurfaces and metagratings have allowed for the realization of RISs. Metagratings offer better flexibility, a smaller number of meta-atoms in a unit cell, high beam conversion efficiency, and a fully analytical design procedure. This research project aims to develop a new and efficient algorithm to design electrically reconfigurable metagratings that can achieve various beam manipulations in both transmission and reflection. The algorithm will provide metagrating dimensions for desired beam-manipulation irrespective of operating frequency and substrate type. The results will be tested using full-wave simulators like ANSYS HFSS and CST software. The fabricated prototype will be tested in an indoor environment using multiple interceptors between the transmitter and receiver. Intense research on RIS is happening worldwide, but only small-scale experiments are conducted. The main issue from a radio frequency designer perspective is the design of metasurface- or metagrating-based RIS that can provide field manipulation. The algorithm developed in this project aims to solve this issue and answer mystery questions surrounding RIS technology. The research outputs are expected to help wireless industries commercially deploy RIS and create an SRE.

Total Budget (INR):

15,20,490

Organizations involved