Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods

Hamed Pezeshki, Fabio Valerio Massoli, Arash Behboodi, Taesang Yoo, Arumugam Kannan, Mahmoud Taherzadeh Boroujeni, Qiaoyu Li, Tao Luo 0009, Joseph B. Soriaga. Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods. In IEEE Global Communications Conference, GLOBECOM 2022, Rio de Janeiro, Brazil, December 4-8, 2022. pages 776-781, IEEE, 2022. [doi]

@inproceedings{PezeshkiMBYKBL022,
  title = {Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods},
  author = {Hamed Pezeshki and Fabio Valerio Massoli and Arash Behboodi and Taesang Yoo and Arumugam Kannan and Mahmoud Taherzadeh Boroujeni and Qiaoyu Li and Tao Luo 0009 and Joseph B. Soriaga},
  year = {2022},
  doi = {10.1109/GLOBECOM48099.2022.10000978},
  url = {https://doi.org/10.1109/GLOBECOM48099.2022.10000978},
  researchr = {https://researchr.org/publication/PezeshkiMBYKBL022},
  cites = {0},
  citedby = {0},
  pages = {776-781},
  booktitle = {IEEE Global Communications Conference, GLOBECOM 2022, Rio de Janeiro, Brazil, December 4-8, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-3540-6},
}