Deep Learning-Based Channel Estimation Techniques Using IEEE 802.11p Protocol, Limitations of IEEE 802.11p and Future Directions of IEEE 802.11bd: A Review
- DOI
- 10.3390/s26051658
- Published
- 2026-03-05
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26051658,
title = {Deep Learning-Based Channel Estimation Techniques Using IEEE 802.11p Protocol, Limitations of IEEE 802.11p and Future Directions of IEEE 802.11bd: A Review},
author = {Saveeta Bai and Jeff Kilby and Krishnamachar Prasad},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26051658},
url = {https://doi.org/10.3390/s26051658}
}RIS
TY - JOUR TI - Deep Learning-Based Channel Estimation Techniques Using IEEE 802.11p Protocol, Limitations of IEEE 802.11p and Future Directions of IEEE 802.11bd: A Review AU - Saveeta Bai AU - Jeff Kilby AU - Krishnamachar Prasad PY - 2026 JO - Sensors DO - 10.3390/s26051658 UR - https://doi.org/10.3390/s26051658 ER -
APA
Bai, S., Kilby, J., & Prasad, K. (2026). Deep Learning-Based Channel Estimation Techniques Using IEEE 802.11p Protocol, Limitations of IEEE 802.11p and Future Directions of IEEE 802.11bd: A Review. Sensors. https://doi.org/10.3390/s26051658
Source records
- crossref · retrieved 2026-11-06T06:19:22.314Z