Closed-Loop Beam Alignment for Massive MIMO Channel Estimation

@article{Duly2014ClosedLoopBA,
  title={Closed-Loop Beam Alignment for Massive MIMO Channel Estimation},
  author={Andrew J. Duly and Taejoon Kim and D. J. Love and J. Krogmeier},
  journal={IEEE Communications Letters},
  year={2014},
  volume={18},
  pages={1439-1442}
}
  • Andrew J. Duly, Taejoon Kim, +1 author J. Krogmeier
  • Published 2014
  • Computer Science, Mathematics
  • IEEE Communications Letters
  • Training sequences are designed to probe wireless channels to obtain channel state information for block-fading channels. Optimal training sounds the channel using orthogonal beamforming vectors to find an estimate that optimizes some cost function, such as mean square error. As the number of transmit antennas increases, however, the training overhead becomes significant. This creates a need for alternative channel estimation schemes for increasingly large transmit arrays. In this work, we… CONTINUE READING
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