SINR-OP Based Robust AN-Aided Beamforming for Correlated MISO Eavesdropping Channels

Autor: Xinwu Chen, Weixiao Meng, Sai Xu, Jinming Wang, Shuai Han
Rok vydání: 2021
Předmět:
Zdroj: ICC
DOI: 10.1109/icc42927.2021.9500684
Popis: Correlation between the main and eavesdropping channels damages secrecy, the achievable secrecy rate under high correlation is small not to satisfy some high-rate applications. This paper optimizes an artificial noise (AN)-aided beamformer by employing a novel quality-of-service criterion, namely signal-to-interference-plus-noise-ratio outage-probability (SINR-OP), and seeks to maximize the target outage SINR under transmit power and SINR-OP constraints. Under Gaussian channel state information uncertainties, a robust ellipsoid-bounding-based approach is employed to approximate the probabilistic constraints; then, a suboptimal solution is obtained. The simulation results verify the proposed AN-aided beamforming achieves the high target outage SINR at the destination.
Databáze: OpenAIRE