15 citations · 16 across the 8 of their papers we have counts for
8 papers
SL-FAC: A Communication-Efficient Split Learning Framework with Frequency-Aware Compression
Zehang Lin, Miao Yang, Haihan Zhu +9
The growing complexity of neural networks hinders the deployment of distributed machine learning on resource-constrained devices. Split learning (SL) offers a promising solution by…
Hybrid Mamba-Attention Neural Architecture for Channel Estimation
Dianxin Luan, Chengsi Liang, Jie Huang +5
This paper proposes a hybrid Mamba-attention neural architecture to achieve improved channel estimation for orthogonal frequency-division multiplexing (OFDM) waveforms, particularl…
Achieving Robust Channel Estimation Neural Networks by Designed Training Data
Dianxin Luan, John Thompson
Channel estimation is crucial in wireless communications. However, in many papers neural networks are frequently tested by training and testing on one example channel or similar ch…
Robust Channel Estimation for Optical Wireless Communications Using Neural Network
Dianxin Luan, John Thompson
Optical Wireless Communication (OWC) has gained significant attention due to its high-speed data transmission and throughput. Optical wireless channels are often assumed to be flat…
Channelformer: Attention based Neural Solution for Wireless Channel Estimation and Effective Online Training
Dianxin Luan, John Thompson
In this paper, we propose an encoder-decoder neural architecture (called Channelformer) to achieve improved channel estimation for orthogonal frequency-division multiplexing (OFDM)…
Achieving Robust Generalization for Wireless Channel Estimation Neural Networks by Designed Training Data
Dianxin Luan, John Thompson
In this paper, we propose a method to design the training data that can support robust generalization of trained neural networks to unseen channels. The proposed design that improv…
Attention Based Neural Networks for Wireless Channel Estimation
Dianxin Luan, John Thompson
In this paper, we deploy the self-attention mechanism to achieve improved channel estimation for orthogonal frequency-division multiplexing waveforms in the downlink. Specifically,…
Low Complexity Channel estimation with Neural Network Solutions
Dianxin Luan, John Thompson
Research on machine learning for channel estimation, especially neural network solutions for wireless communications, is attracting significant current interest. This is because co…