4 citations · 5 across the 5 of their papers we have counts for
5 papers
Generative Diffusion Model-based Compression of MIMO CSI
Heasung Kim, Taekyun Lee, Hyeji Kim +6
While neural lossy compression techniques have markedly advanced the efficiency of Channel State Information (CSI) compression and reconstruction for feedback in MIMO communication…
X-ResQ: Reverse Annealing for Quantum MIMO Detection with Flexible Parallelism
Minsung Kim, Abhishek Kumar Singh, Davide Venturelli +2
Quantum Annealing (QA)-accelerated MIMO detection is an emerging research approach in the context of NextG wireless networks. The opportunity is to enable large MIMO systems and th…
Decoding Polar Codes via Noisy Quantum Gates: Quantum Circuits and Insights
Srikar Kasi, John Kaewell, Shahab Hamidi-Rad +1
The use of quantum computation for wireless network applications is emerging as a promising paradigm to bridge the performance gap between in-practice and optimal wireless algorith…
A Cost and Power Feasibility Analysis of Quantum Annealing for NextG Cellular Wireless Networks
Srikar Kasi, P. A. Warburton, John Kaewell +1
In order to meet mobile cellular users' ever-increasing data demands, today's 4G and 5G networks are designed mainly with the goal of maximizing spectral efficiency. While they hav…
Fast Monte Carlo Dropout and Error Correction for Radio Transmitter Classification
Liangping Ma, John Kaewell
Monte Carlo dropout may effectively capture model uncertainty in deep learning, where a measure of uncertainty is obtained by using multiple instances of dropout at test time. Howe…