Linear Precoding of Data and Artificial Noise in Secure Massive MIMO Systems

@article{Zhu2016LinearPO,
  title={Linear Precoding of Data and Artificial Noise in Secure Massive MIMO Systems},
  author={J. Zhu and R. Schober and V. Bhargava},
  journal={IEEE Transactions on Wireless Communications},
  year={2016},
  volume={15},
  pages={2245-2261}
}
  • J. Zhu, R. Schober, V. Bhargava
  • Published 2016
  • Computer Science, Mathematics
  • IEEE Transactions on Wireless Communications
  • In this paper, we consider secure downlink transmission in a multicell massive multiple-input multiple-output (MIMO) system where the numbers of base station (BS) antennas, mobile terminals, and eavesdropper antennas are asymptotically large. The channel state information of the eavesdropper is assumed to be unavailable at the BS and hence, linear precoding of data and artificial noise (AN) are employed for secrecy enhancement. Four different data precoders (i.e., selfish zero-forcing (ZF… CONTINUE READING
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