Signal detection and classification in shared spectrum: A deep learning approach

W Zhang, M Feng, M Krunz… - IEEE INFOCOM 2021 …, 2021 - ieeexplore.ieee.org
Accurate identification of the signal type in shared-spectrum networks is critical for efficient
resource allocation and fair coexistence. It can be used for scheduling transmission …

[PDF][PDF] Signal Detection and Classification in Shared Spectrum: A Deep Learning Approach

W Zhang, M Feng, M Krunz… - IEEE INFOCOM 2021 …, 2021 - par.nsf.gov
Accurate identification of the signal type in a sharedspectrum scenario is critical for fair
allocation of channel access. It facilitates scheduling the transmissions of coexisting systems …

Signal Detection and Classification in Shared Spectrum: A Deep Learning Approach

W Zhang, M Feng, M Krunz… - … -IEEE Conference on …, 2021 - opus.lib.uts.edu.au
Accurate identification of the signal type in shared-spectrum networks is critical for efficient
resource allocation and fair coexistence. It can be used for scheduling transmission …

Signal Detection and Classification in Shared Spectrum: A Deep Learning Approach

W Zhang, M Feng, M Krunz… - IEEE INFOCOM 2021 …, 2021 - dl.acm.org
Accurate identification of the signal type in shared-spectrum networks is critical for efficient
resource allocation and fair coexistence. It can be used for scheduling transmission …

[PDF][PDF] Signal Detection and Classification in Shared Spectrum: A Deep Learning Approach

W Zhang, M Feng, M Krunz, AHY Abyaneh - wicon.arizona.edu
Accurate identification of the signal type in sharedspectrum networks is critical for efficient
resource allocation and fair coexistence. It can be used for scheduling transmission …

[PDF][PDF] Signal Detection and Classification in Shared Spectrum: A Deep Learning Approach

W Zhang, M Feng, M Krunz, AHY Abyaneh - researchgate.net
Accurate identification of the signal type in sharedspectrum networks is critical for efficient
resource allocation and fair coexistence. It can be used for scheduling transmission …

[PDF][PDF] Signal Detection and Classification in Shared Spectrum: A Deep Learning Approach

W Zhang, M Feng, M Krunz, AHY Abyaneh - wireless.ece.arizona.edu
Accurate identification of the signal type in sharedspectrum networks is critical for efficient
resource allocation and fair coexistence. It can be used for scheduling transmission …