5 citations · 18 across the 7 of their papers we have counts for
7 papers
A Survey of Smart Grid Emerging Use Cases and Relevant 5G and 6G Capabilities and Features
Manoj Kumar, Nishith D. Tripathi, Jeffrey H. Reed
The growing complexity of modern energy systems has led to the adoption of Smart Grid (SG) that use advanced communication technologies to facilitate efficient, reliable, secure, a…
Indoor Positioning for Public Safety: Role of UAVs, LEOs, and Propagation-Aware Techniques
Gaurav Duggal, Harish K. Dureppagari, Harpreet S. Dhillon +2
Effective indoor positioning is critical for public safety, enabling first responders to locate at-risk individuals accurately during emergency scenarios. However, traditional Glob…
Impact of Frequency on Diffraction-Aided Wireless Positioning
Gaurav Duggal, Anand M. Kumar, R. Michael Buehrer +3
This paper tackles the challenge of accurate positioning in Non-Line-of-Sight (NLoS) environments, with a focus on indoor public safety scenarios where NLoS bias severely impacts l…
Experimental Validation of a 3GPP Compliant 5G-Based Positioning System
Sarik Dhungel, Gaurav Duggal, Dara Ron +4
The advent of 5G positioning techniques by 3GPP has unlocked possibilities for applications in public safety, vehicular systems, and location-based services. However, these applica…
Diffraction Aided Wireless Positioning
Gaurav Duggal, R. Michael Buehrer, Harpreet S. Dhillon +1
Wireless positioning in Non-Line-of-Sight (NLoS) scenarios presents significant challenges due to multipath effects that lead to biased measurements and reduced positioning accurac…
3D Positioning using a New Diffraction Path Model
Gaurav Duggal, R. Michael Buehrer, Harpreet S. Dhillon +1
Enhancing 3D and Z-axis positioning accuracy is crucial for effective rescue in indoor emergencies, ensuring safety for emergency responders and at-risk individuals. Additionally,…
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges
Solmaz Niknam, Harpreet S. Dhillon, Jeffery H. Reed
There is a growing interest in the wireless communications community to complement the traditional model-based design approaches with data-driven machine learning (ML)-based soluti…