An Approach for Probabilistic SWIPT Beamforming in Secure MISO Channel

This research studies the optimization of transmit power in a simultaneous wireless information and power transfer system, assuming statistical channel state information for eavesdroppers and energy receivers. The primary goal is to optimize the transmit power while ensuring the probability of secrecy rate outage and the harvested energy constraint. Due to its nonconvexity, the problem is challenging to address. To tackle this, we initially reformulate it as a DC program and subsequently propose a DC Algorithm (DCA) to solve it. The effectiveness of the proposed algorithm is demonstrated through experimental results.