4 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…
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…
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…