Machine Learning-Driven State Selection Method for Millimeter-Wave Reconfigurable Array Antenna With 360° Beam Scanning

by Hossain, Md Shakir, Anim, Kyei and Dandekar, Kapil R.
Reference:
M. S. Hossain, K. Anim, K. R. Dandekar, “Machine Learning-Driven State Selection Method for Millimeter-Wave Reconfigurable Array Antenna With 360° Beam Scanning”, In 2024 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), pp. 5-10, 2024.
Bibtex Entry:
@INPROCEEDINGS{10850376,
  author={Hossain, Md Shakir and Anim, Kyei and Dandekar, Kapil R.},
  booktitle={2024 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)}, 
  title={Machine Learning-Driven State Selection Method for Millimeter-Wave Reconfigurable Array Antenna With 360° Beam Scanning}, 
  year={2024},
  volume={},
  number={},
  pages={5-10},
  keywords={Radio frequency;Wireless communication;5G mobile communication;Heuristic algorithms;Transmitting antennas;Software algorithms;Ray tracing;Prediction algorithms;Millimeter wave communication;Switching circuits;Reconfigurable Antenna;mmWave Communications;State Selection;Beam Steering;Machine Learning;Adaptive Pursuit},
  doi={10.1109/WiSEE61249.2024.10850376}}