Seminar
Title: 3D EM Ray-tracing : Predicting accurate channels for 6G and Joint Sensing and Communications
Tarun Chawla
Tarun Chawla (Member, IEEE) received the B.S. degree in electrical engineering from Pennsylvania State University, in 2008. He joined Remcom, in 2009, and he is currently the Director of Business Development. His research interest includes millimeter-wave channel modeling and sensing.
Abstract
Wave propagation is a physical phenomenon and modeling the channel for a wireless link is a fundamental requirement for a system. Channel models exist to assist engineers in the prediction of BER, Capacity and Throughput for wireless performance. However, standard models from legacy wireless generations are insufficient to cover the breadth of new use cases, frequencies and antenna technologies for massive MIMO, 5G, 6G and beyond. Deterministic channel modeling using novel ray-tracing for digital twins can predict accurate ToF, angular spreads, band dispersion, channel latency and range doppler for 6G sensing, UWB, NTN, RIS, mobility and more.
Accurate paths generated from Remcom's X3D engine enables dataset generation for various scenarios to enable ML and AI use cases for comms and sensing as verified in several test beds.
Special care must be taken when representing this physical reality of waves using sound foundational computational electromagnetics.
Not your grandfather's propagation model: Modern techniques and approaches for beyond 5G wireless systems
Christopher R. Anderson
Christopher R. Anderson joined the National Telecommunications and Information Administration (NTIA) Institute for Telecommunication Sciences (ITS) in 2023, following a distinguished 16-year tenure at the United States Naval Academy (USNA) as an Associate Professor in the Electrical Engineering Department. At USNA, he founded and directed the Wireless Measurements Group, a specialized research team focusing on spectrum, propagation, and field strength measurements in diverse environments and frequencies ranging from 300 MHz to 28 GHz. During 2016-2018, Dr. Anderson served as a Visiting Researcher for the NTIA ITS Theory Division, concentrating on the development of propagation models for cluttered environments. Currently, his primary interests lie in enhancing spectrum coexistence between active and passive technologies and improving wireless coverage in rural or underserved areas. Dr. Anderson has served as an Editor of the IEEE Transactions on Wireless Communications, is currently the Chair of the UAV and V2V Channel Modeling Subgroup of the IEEE Mobile Communication Network Standards Committee, and is Chair of the URSI US National Committee Commission A (Electromagnetic Metrology).
Abstract
Existing classical propagation models, such as the Irregular Terrain Model, Hata Model, or various ITU models, have a long and rich history of being utilized for spectrum policy, regulation, and system planning. However, these models rely on decades-old approaches, techniques, and approximations, and their continued use severely limits the potential of modern wireless services. With the increasing demand for enhanced spectrum efficiency--particularly in spectrum sharing and active/passive spectrum coexistence--there is an urgent need for modern propagation models that leverage advanced techniques and up-to-date datasets while remaining firmly grounded in physics. These models will be essential to drive the ongoing advancement of wireless systems.
This seminar will provide a brief overview of the classical propagation models and explore the reasons behind their continued widespread adoption today. Additionally, we will review modern modeling techniques that have been discussed in the literature, highlighting the key challenges and weaknesses associated with each approach. Finally, we will engage in a discussion concerning the essential features and techniques that modern propagation models must incorporate to effectively address the evolving needs of the wireless ecosystem.