ESR9. Gurjot Singh Bhatia

Short biography

I come from the state of Punjab in the northern part of India. My hobbies include playing basketball and running. I completed my bachelor’s in Electronics and Communication Engineering from Punjab Engineering College, India. During the bachelors I completed a 6 months internship in state-of-the-art (SoA) LTCC technology at TU Ilmenau, Germany followed by summer internships in Semiconductors Laboratory, India that is associated with the Indian Space program.

I was then awarded the prestigious Erasmus Joint Master’s Degree (EMJMD) scholarship to pursue the Erasmus Masters on Innovative Microwave Electronics and Optics (EMIMEO). The first 3 semesters were carried out in University of Limoges, France; University of Brescia, Italy and University of Basque Country, Spain, respectively. I completed my master’s thesis on the topic “Remote powering of Implanted Electronics” at École polytechnique fédérale de Lausanne (EPFL), Switzerland. Currently, I am working as an Early Stage Researcher (ESR) in the project 5GSmartFact. My research interests include electromagnetic (EM) wave propagation, antenna design, channel modeling, network planning and would soon like to build expertise in robotics and machine learning

Short description of project objectives

The overall objectives of my research topic are:

  • Channel Modeling – To contribute to beyond SoA characterization and modeling of the radio channel properties in 5G smart factory scenarios at low (sub 6 GHz) and high (millimeter-wave) frequencies.

  • Network Planning – To define practical methodologies for simulation-based network design and optimization, including the production of the 3D digital twin.

  • 5G/6G enabling technologies – To assess the benefits of the new models and key 5G/6G enabling technologies such as RIS and Distributed MIMO

  • So far, I have compiled a comprehensive SoA on:

  • 5G NR - Requirements and Use Cases for Smart Factories

  • Channel Modeling, Measurement and Characterization campaigns of Indoor Industrial Environment

  • Cell free/Distributed Massive MIMO and Reconfigurable Intelligent Surfaces (RIS)

  • Recently, I have been able to produce some basic 3D digital models of indoor industrial environments. The attempt is to benchmark the devised modeling technique against results in the literature.