  In this paper, we study a multi-user multiple-input-multiple-output secrecy
simultaneous wireless information and power transfer (SWIPT) channel which
consists of one transmitter, one cooperative jammer (CJ), multiple energy
receivers (potential eavesdroppers, ERs), and multiple co-located receivers
(CRs). We exploit the dual of artificial noise (AN) generation for facilitating
efficient wireless energy transfer and secure transmission. Our aim is to
maximize the minimum harvested energy among ERs and CRs subject to secrecy rate
constraints for each CR and total transmit power constraint. By incorporating
norm-bounded channel uncertainty model, we propose a iterative algorithm based
on sequential parametric convex approximation to find a near-optimal solution.
Finally, simulation results are presented to validate the performance of the
proposed algorithm outperforms that of the conventional AN-aided scheme and
CJ-aided scheme.
