#channel estimation

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4 papers match

cs.LG2026

Neural Network-Assisted CLEAN for Channel Modeling in Low-SNR Regimes

Chaofan Deng, Linyu Sun, Jaeho Lee +1

The paper introduces NN-CLEAN, a hybrid method that integrates a multi‑head residual neural network into the iterative CLEAN algorithm to speed up multipath channel parameter estim…

#channel estimation#low-snr regimes#hybrid neural-network models#CLEAN algorithm
eess.SP2026

Joint Channel Estimation and Data Detection for Multi-LEO-Satellite Cell-Free OTFS Uplinks

Gangle Sun, Tianhao Liu, Jun Tian +6

The paper proposes a low‑complexity hierarchical receiver that jointly estimates channels and detects data for uplink OTFS transmissions in cell‑free networks of multiple LEO satel…

#satellite communications#cell-free networks#otfs#channel estimation
eess.SP2026

AFDM-FTN: A Spectrally Efficient Waveform for High-Mobility Communications

Xianle Dai, Qu Luo, Jianguo Li +4

The paper introduces AFDM-FTN, a waveform that combines affine frequency division multiplexing with faster‑than‑Nyquist signaling to boost spectral efficiency in high‑mobility wire…

#affine frequency division multiplexing#faster-than-nyquist signaling#high-mobility channels#channel estimation
eess.SP2026

Positional Attention-based Graph Neural Network for Learning Permutation Non-equivariant Wireless Policies

Baichuan Zhao, Chenyang Yang, Jianyu Zhao +1

The paper introduces a positional attention‑based graph neural network that can learn wireless policies which are not permutation equivariant, improving channel estimation and end‑…

#graph neural networks#permutation non-equivariance#positional attention#channel estimation