# of Displayed Technologies: 3 / 3


Categories

A Method for Accurate Cross Band Channel Prediction
TS-068476 — The Need Modern wireless networks, including 5G and future 6G systems, rely heavily on accurate channel prediction to ensure efficient and reliable communication. Frequency Domain Duplexing (FDD) systems face challenges in accurately predicting downlink channels from uplink channels, particularly in…
  • College: College of Engineering (COE)
  • Inventors: Banerjee, Avishek; Parthasarathy, Srinivasan; Srinivasan, Kannan
  • Licensing Officer: Randhawa, Davinder

A Scalable Method for Minimizing Beam-Training Overhead in mmWave Communications
TS-068475 — The Need As mmWave technology becomes the backbone of 5G and other advanced communication systems, the demand for fast, reliable, and scalable beamforming solutions has surged. Traditional beam-training methods are computationally intensive and time-consuming, leading to delays in establishing high-…
  • College: College of Engineering (COE)
  • Inventors: Srinivasan, Kannan; Chen, Wei-Han; Liu, Xin; Parthasarathy, Srinivasan
  • Licensing Officer: Randhawa, Davinder

Auditing Fairness Online through Interactive Refinement
TS-063038 — The Need In the era of machine learning, high-stakes decisions are increasingly being made by black box models, leading to concerns about accountability and fairness. These models can exhibit inherent biases, raising the need for a system that ensures accountability and fairness in decision-making …
  • College: College of Engineering (COE)
  • Inventors: Maneriker, Pranav; Burley, Codi; Parthasarathy, Srinivasan
  • Licensing Officer: Mess, David

Loading icon