mlsanityData to 14 Oct 2026

Acquisition of Channel State Information for mmWave Massive MIMO: Traditional and Machine Learning-based Approaches

arXiv 2006.08894 ↗First posted 16 Jun 2020eess.SP cs.LGcited by 2

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Abstract (arXiv)

The accuracy of channel state information (CSI) acquisition directly affects the performance of millimeter wave (mmWave) communications. In this article, we provide an overview on CSI acquisition, including beam training and channel estimation for mmWave massive multiple-input multiple-output systems. The beam training can avoid the estimation of a high-dimension channel matrix while the channel estimation can flexibly exploit advanced signal processing techniques. In addition to introducing the traditional and machine learning-based approaches in this article, we also compare different approaches in terms of spectral efficiency, computational complexity, and overhead.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Jun 2020.

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2 papers.