no code implementations • 6 Mar 2024 • Yunfei Li, Yiting Luo, Weiqiang Tan, ChunGuo Li, Shaodan Ma, Guanghua Yang
In this study, we address a joint localization and channel estimation problem encompassing distance-dependent noise, unknown channel parameters, and uncertainties in sensor node locations.
no code implementations • 2 Mar 2024 • Yunfei Li, Yiting Luo, Xianda Wu, Zheng Shi, Shaodan Ma, Guanghua Yang
As opposed to existing works that treat channel estimation and localization independently, this paper exploits the intrinsic coupling and nonlinear relationships between the channel parameters and user location for enhancement of both localization and channel reconstruction.
1 code implementation • 13 Feb 2023 • Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji
We focus on addressing the dense backward propagation issue for training efficiency of N:M fine-grained sparsity that preserves at most N out of M consecutive weights and achieves practical speedups supported by the N:M sparse tensor core.
1 code implementation • 14 Jun 2022 • Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji
In this paper, we show that the N:M learning can be naturally characterized as a combinatorial problem which searches for the best combination candidate within a finite collection.
