Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices

Article Properties
  • DOI (url)
    10.1109/iotm.001.2200051
  • Publication Date
    2022/09/01
  • Journal
    IEEE Internet of Things Magazine
  • Indian UGC (journal)
  • Refrences
    15
  • Nasim Soltani Northeastern University,USA
  • Hai Cheng Northeastern University,USA
  • Mauro Belgiovine Northeastern University,USA
  • Yanyu Li Northeastern University,USA
  • Haoqing Li Northeastern University,USA
  • Bahar Azari Northeastern University,USA
  • Salvatore D'Oro Northeastern University,USA
  • Tales Imbiriba Northeastern University,USA
  • Tommaso Melodia Northeastern University,USA
  • Pau Closas Northeastern University,USA
  • Yanzhi Wang Northeastern University,USA
  • Deniz Erdogmus Northeastern University,USA
  • Kaushik Chowdhury Northeastern University,USA
Cite
Soltani, Nasim, et al. “Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices”. IEEE Internet of Things Magazine, vol. 5, no. 3, 2022, pp. 158-64, https://doi.org/10.1109/iotm.001.2200051.
Soltani, N., Cheng, H., Belgiovine, M., Li, Y., Li, H., Azari, B., D’Oro, S., Imbiriba, T., Melodia, T., Closas, P., Wang, Y., Erdogmus, D., & Chowdhury, K. (2022). Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices. IEEE Internet of Things Magazine, 5(3), 158-164. https://doi.org/10.1109/iotm.001.2200051
Soltani N, Cheng H, Belgiovine M, Li Y, Li H, Azari B, et al. Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices. IEEE Internet of Things Magazine. 2022;5(3):158-64.
Refrences
Title Journal Journal Categories Citations Publication Date
Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems 2017
End-to-End Learning for OFDM: From Neural Receivers to Pilotless Communication IEEE Transactions on Wireless Communications
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2021
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks 2018
Communication Algorithms via Deep Learning 0
10.1109/MWC.001.2000322