1 research outputs found
GPI-Based Secrecy Rate Maximization Beamforming Scheme for Wireless Transmission With AN-Aided Directional Modulation
In a directional modulation network, a general power iterative (GPI) based beamforming
scheme is proposed to maximize the secrecy rate (SR), where there are two optimization variables required to
be optimized. The ?rst one is the useful precoding vector of transmitting con?dential messages to the desired
user while the second one is the arti?cial noise (AN) projection matrix of forcing more AN to eavesdroppers.
In such a secure network, the paramount problem is how to design or optimize the two optimization variables
by different criteria. To maximize the SR (Max-SR), an alternatively iterative structure (AIS) is established
between the AN projection matrix and the precoding vector for con?dential messages. To choose a good
initial value of iteration process of GPI, the proposed Max-SR method can readily double its convergence
speed compared to the random choice of initial value. With only four iterations, it may rapidly converge to
its rate ceil. From simulation results, it follows that the SR performance of the proposed AIS of GPI-based
Max-SR is much better than those of conventional leakage-based and null-space projection methods in the
medium and large signal-to-noise ratio (SNR) regions, and its achievable SR performance gain gradually
increases as SNR increases