Deep Learning-Based Dynamic Time Division ISAC Beamforming for Vehicular Networks.

Lim J, So J

DOI: 10.3390/s26092790
Published: 2026 Apr 30
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26092790,
  title = {Deep Learning-Based Dynamic Time Division ISAC Beamforming for Vehicular Networks.},
  author = {Lim J and So J},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26092790},
  url = {https://doi.org/10.3390/s26092790}
}

RIS

TY  - JOUR
TI  - Deep Learning-Based Dynamic Time Division ISAC Beamforming for Vehicular Networks.
AU  - Lim J
AU  - So J
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26092790
UR  - https://doi.org/10.3390/s26092790
ER  -

APA

J, L., & J, S. (2026). Deep Learning-Based Dynamic Time Division ISAC Beamforming for Vehicular Networks.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26092790

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pubmed · retrieved 2026-11-10T07:41:08.940Z