Tootfinder

Deep Joint CSI Feedback and Multiuser Precoding for MIMO OFDM Systems
Yiran Guo, Wei Chen, Jialong Xu, Lun Li, Bo Ai
https://arxiv.org/abs/2404.16289 https…

Deep Joint CSI Feedback and Multiuser Precoding for MIMO OFDM Systems
The design of precoding plays a crucial role in achieving a high downlink sum-rate in multiuser multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. In this correspondence, we propose a deep learning based joint CSI feedback and multiuser precoding method in frequency division duplex systems, aiming at maximizing the downlink sum-rate performance in an end-to-end manner. Specifically, the eigenvectors of the CSI matrix are compressed using deep joint …

Coarse Mesh Iteration Approach for Analytical 1D Multigroup $S_N$ Eigenvalue Problems
Jilang Miao, Miaomiao Jin
https://arXiv.org/abs/2401.15765 https://…

Coarse Mesh Iteration Approach for Analytical 1D Multigroup $S_N$ Eigenvalue Problems
This paper extends the fixed source capability of analytical 1D multigroup $S_N$ equations to solve eigenvalue problems on coarse mesh.

Developing an Analytical Fixed Source Solver for the 1D Multigroup $S_N$ Equations
Jilang Miao, Miaomiao Jin
https://arXiv.org/abs/2401.15763 https://

Developing an Analytical Fixed Source Solver for the 1D Multigroup $S_N$ Equations
We extend the analytical multigroup $S_N$ method to solve 1D fixed source problems. The fixed source solver is applied in power iteration of eigenvalue problems.