English

Secrecy Sum-Rates with Regularized Channel Inversion Precoding under Imperfect CSI at the Transmitter

Information Theory 2016-11-18 v1 math.IT

Abstract

In this paper, we study the performance of regularized channel inversion precoding in MISO broadcast channels with confidential messages under imperfect channel state information at the transmitter (CSIT). We obtain an approximation for the achievable secrecy sum-rate which is almost surely exact as the number of transmit antennas and the number of users grow to infinity in a fixed ratio. Simulations prove this anaylsis accurate even for finite-size systems. For FDD systems, we determine how the CSIT error must scale with the SNR, and we derive the number of feedback bits required to ensure a constant high-SNR rate gap to the case with perfect CSIT. For TDD systems, we study the optimum amount of channel training that maximizes the high-SNR secrecy sum-rate.

Keywords

Cite

@article{arxiv.1304.6159,
  title  = {Secrecy Sum-Rates with Regularized Channel Inversion Precoding under Imperfect CSI at the Transmitter},
  author = {Giovanni Geraci and Romain Couillet and Jinhong Yuan and Merouane Debbah and Iain B. Collings},
  journal= {arXiv preprint arXiv:1304.6159},
  year   = {2016}
}

Comments

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2013. arXiv admin note: text overlap with arXiv:1304.5850

R2 v1 2026-06-22T00:04:34.785Z