Corpus ID: 204801133

Deep-Learning-aided Detection for Reconfigurable Intelligent Surfaces

@article{Khan2019DeepLearningaidedDF,
  title={Deep-Learning-aided Detection for Reconfigurable Intelligent Surfaces},
  author={Saud Khan and Komal S. Khan and N. Haider and S. Shin},
  journal={arXiv: Signal Processing},
  year={2019}
}

• Saud Khan, Komal S. Khan, +1 author S. Shin
• Published 2019
• Computer Science, Engineering
• arXiv: Signal Processing

This paper presents a deep learning (DL) approach for estimating and detecting symbols in signals transmitted through reconfigurable intelligent surfaces (RIS). The proposed network utilizes fully connected layers to estimate channels and phase angles from a reflected signal received through an RIS. Because the proposed network can estimate and detect symbols without any pilot signaling, this method reduces the overhead required for transmission. The improvements achieved by this method are… Expand

View PDF on arXiv

Save to Library

Create Alert

Cite

Launch Research Feed