PROJECT TITLE :

Max–min fair wireless energy transfer for multiple-input multiple-output wiretap channels

ABSTRACT:

In this study, the authors study the max–min fairness for wireless energy transfer in a multiuser multiple-input multiple-output Communication system with simultaneous wireless information and power transfer. In particular, they aim to maximise the minimum harvested energy among the multiple multi-antenna energy receivers while guaranteeing secure communication for multi-antenna info receiver. The dual use of artificial noise to facilitate both wireless energy transfer and secure communication is exploited within the authors’ proposed downside. Each situations of excellent and imperfect channel state info (CSI) known at the transmitter are thought-about. For the proper CSI case, the formulated max–min energy harvesting (MM-EH) drawback is non-convex and intractable. To circumvent it, an iterative optimisation algorithm primarily based on Taylor series expansion is proposed. Then, they flip their attention to the imperfect CSI case, where a max–min strong energy harvesting (MMR-EH) drawback is taken into account. Though the MMR-EH drawback is additional difficult than the MM-EH problem, they reveal that the iterative optimisation method can be extended to the solution of the previous, wherein the S-procedure is introduced. Simulation results show the efficiency of their proposed solutions in terms of energy harvesting.