Low-complexity beamforming designs of sum secrecy rate maximization for the Gaussian MISO multi-receiver wiretap channel

Yanqun Tang; Caiyao Shen; Yunpeng Hu; Hongyi Yu; Xiaoyi Zhang

ICASSP 2016accepted0 citations

Low-complexity beamforming designs of sum secrecy rate maximization for the Gaussian MISO multi-receiver wiretap channel

Yanqun Tang, Caiyao Shen, Yunpeng Hu, Hongyi Yu, Xiaoyi Zhang

Abstract

This paper studies the beamforming design for sum secrecy rate (SSR) maximization in the Gaussian multiple-input single-output multi-receiver wiretap channel (MISO-MRWC). The optimization problem of finding the optimal beamforming algorithm is non-convex and intractable to solve using low-complexity methods. Motivated by the thinking of zero-forcing (ZF) and signal-to-leakage-plus-noise ratio (SLNR), we propose three low-complexity beamforming algorithms for finding a local SSR optimum. The simulation results show that the SLNR-based beamforming algorithm outperforms the other two algorithms with ZF preprocessing.

BibTeX

@inproceedings{icassp2016_lowcomplexitybea,
  title = {Low-complexity beamforming designs of sum secrecy rate maximization for the Gaussian MISO multi-receiver wiretap channel},
  author = {Yanqun Tang and Caiyao Shen and Yunpeng Hu and Hongyi Yu and Xiaoyi Zhang},
  booktitle = {ICASSP 2016},
  year = {2016}
}