Evaluation of a Hybrid Neural-Polynomial Deep Q-Network for Switching-Aware Spectrum Selection in a Controlled Radio-Frequency Measurement-Replay Testbed.

Pan Y, Yan Y, Sun D, Li Z, Zhang Z, Cai J, Chen D, Wu Q, Shen Z.

Open source

DOI
10.3390/s26175501
Published
2026-08-30
Container
Sensors (Basel)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s26175501,
  title = {Evaluation of a Hybrid Neural-Polynomial Deep Q-Network for Switching-Aware Spectrum Selection in a Controlled Radio-Frequency Measurement-Replay Testbed.},
  author = {Pan Y and  Yan Y and  Sun D and  Li Z and  Zhang Z and  Cai J and  Chen D and  Wu Q and  Shen Z.},
  year = {2026},
  journal = {Sensors (Basel)},
  doi = {10.3390/s26175501},
  url = {https://doi.org/10.3390/s26175501}
}

RIS

TY  - JOUR
TI  - Evaluation of a Hybrid Neural-Polynomial Deep Q-Network for Switching-Aware Spectrum Selection in a Controlled Radio-Frequency Measurement-Replay Testbed.
AU  - Pan Y
AU  -  Yan Y
AU  -  Sun D
AU  -  Li Z
AU  -  Zhang Z
AU  -  Cai J
AU  -  Chen D
AU  -  Wu Q
AU  -  Shen Z.
PY  - 2026
JO  - Sensors (Basel)
DO  - 10.3390/s26175501
UR  - https://doi.org/10.3390/s26175501
ER  -

APA

Y, P., Y, Y., D, S., Z, L., Z, Z., J, C., D, C., Q, W., & Z., S. (2026). Evaluation of a Hybrid Neural-Polynomial Deep Q-Network for Switching-Aware Spectrum Selection in a Controlled Radio-Frequency Measurement-Replay Testbed.. Sensors (Basel). https://doi.org/10.3390/s26175501

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