QoS-Based Transmit Beamforming in the Presence of Eavesdroppers: An Optimized Artificial-Noise-Aided Approach

By Wei-Cheng Liao, Tsung-Hui Chang, Wing-Kin Ma, Chong-Yung Chi. IEEE Transactions on Signal Processing, 2011

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Classifications and Applications of Physical Layer Security Techniques for Confidentiality: A Comprehensive Survey (2019, background): “layer security techniques such as conventional linear beamforming [25], [273], [422], classical antenna subset modulation [104], directional modulation [423], artificial noise-based”
Physical Layer Security for Next Generation Wireless Networks: Theories, Technologies, and Challenges (2017, methodology): “In [52], a transmitter allocates a minimum possible fraction ρ of the available transmit power P to achieve a desired SINR between the transmitter and the intended receiver, and allocates all of transmitter’s remaining power to send artificial interference signals that are uniformly distributed in s”
A Survey on Multiple-Antenna Techniques for Physical Layer Security (2017, methodology): “power were regarded as the optimization objectives for jointly designing transmit beamforming and AN in [97] and [117], respectively.”
Spatially Selective Artificial-Noise Aided Transmit Optimization for MISO Multi-Eves Secrecy Rate Maximization (2013, methodology): “With knowledge of CSI, we can block the eavesdroppers much more effectively by generating spatially selective AN, rather than keeping AN isotropic [11], [12].”