Artificial-noise aided transmit design for multi-user MISO systems with service integration and energy harvesting

This paper considers an artificial noise (AN)-aided transmit design for multi-user MISO systems in the eyes of service integration. Specifically, three sorts of services, i.e., multicast message transfer, confidential message transfer and energy transfer, are combined and offered simultaneously. The confidential message is kept perfectly secure from all receivers except an authorized receiver. Assuming that power splitting (PS) is employed at each receiver to decode information and harvest energy simultaneously, our goal is to jointly design the PS ratio for each receiver and the input covariances of the multicast message, confidential message and AN such that the total transmit power consumption is minimized while satisfying given quality of service (QoS) constraints for the three sorts of services. Due to the intractability of this problem, a provably convergent semidefinite programming (SDP)-based algorithm is applied to solve this problem in an iterative fashion. Furthermore, we also give an approach to constructing a rank-one covariance matrix of the confidential message from this algorithm. Finally, numerical results are presented to demonstrate the efficacy of our proposed scheme.