Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems
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- Type
- preprint
- Published
- 2017-08-28
- Cited by
- 1,782
- References
- 12
- Access
- Open access
- OpenAlex
- https://openalex.org/W2752416739
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3412710
Keywords
Orthogonal frequency-division multiplexing, Computer science, Channel (broadcasting), Deep learning, Cyclic prefix
References
- Recurrent deep neural networks for robust speech recognition
- Deep learning in neural networks: An overview
- Adaptive equalization of finite nonlinear channels using multilayer perceptron
- Effects of clipping and filtering on the performance of OFDM
- Effects of clipping and filtering on the performance of OFDM
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Robust channel estimation for OFDM systems with rapid dispersive fading channels
- ImageNet classification with deep convolutional neural networks
- CSI-Based Fingerprinting for Indoor Localization: A Deep Learning Approach
- Learning to decode linear codes using deep learning
- Adaptive Equalisation to finite Non-linear Channels using Multilayer Perceptrons
- WINNER II Channel Models
Cited by
- Modulation Classification of Underwater Communication with Deep Learning Network
- Deep learning for wireless physical layer: Opportunities and challenges
- Machine Learning and Cognitive Technology for Intelligent Wireless Networks
- Near Maximum Likelihood Decoding with Deep Learning
- OFDM-Autoencoder for End-to-End Learning of Communications Systems
- Toward Intelligent Vehicular Networks: A Machine Learning Framework
- Intelligent wireless communications enabled by cognitive radio and machine learning
- Designing communication systems via iterative improvement: error correction coding with Bayes decoder and codebook optimized for source symbol error
- Channel estimation based on learning automata for OFDM systems
- Learning to Detect
- Deep Learning for an Effective Nonorthogonal Multiple Access Scheme
- Resource Allocation for Multi-Channel Underlay Cognitive Radio Network Based on Deep Neural Network
- Implementation of Deep Learning in Spatial Multiplexing MIMO Communication
- Deep Learning Network Based Spectrum Sensing Methods for OFDM Systems.
- Partially Blind Joint Channel Estimation and Symbol Detection in Amplify-and-Forward Two-Way Relay Systems
- Transmit Power Control Using Deep Neural Network for Underlay Device-to-Device Communication
- Deep Reinforcement Learning for Online Offloading in Wireless Powered Mobile-Edge Computing Networks
- Deep Learning-Based CSI Feedback Approach for Time-Varying Massive MIMO Channels
- Deep Learning in Physical Layer Communications
- Application of End-to-End Deep Learning in Wireless Communications Systems
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