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An artificial-noise (AN)-aided beamformer specific to correlated main andwiretap channels is designed in this paper. We consider slow-fadingmultiple-input-single-output (MISO) wiretap channels with a passivesingle-antenna eavesdropper, in which independent transmitter-side andcorrelated receiver-side are assumed. Additionally, the source has accuratemain channel information and statistical wiretap channel information. To reducethe secrecy loss due to receiver-side correlation, this paper proposes thescheme of channel-correlation-enabled transmit optimization. Particularly, thecorrelation is viewed as a resource to acquire more knowledge about wiretapchannel. Based on this, the statistical distribution of wiretap channel isdescribed more precisely. Then, the power of AN in the null space of mainchannel is placed more reasonably instead of simple uniform distribution and anelaborate beamformer for the information-bearing signal is designed. Finally,an efficient algorithm for power allocation between the information-bearingsignal and the AN is developed. Simulation results show that the secrecy rateunder transmit power and secrecy outage constraint is improved.

Channel-Correlation-Enabled Transmit Optimization for MISO Wiretap Channels