In this letter, secure beamforming designs are investigated in a multiple-input multiple-output (MIMO) secrecy channels with simultaneous wireless information and power transfer (SWIPT). In order to achieve fairness among different multiple energy harvesting receivers (EHRs), the minimum harvested energy is maximized under the secrecy rate requirements. In particular, in order to reduce the computational complexity of the semidefinite programming (SDP) problem, a successive convex approximation (SCA) iterative algorithm is proposed in the perfect channel state information (CSI) case to obtain a near-optimal rank-one solution. Moreover, the original problem is extended to the imperfect CSI case by incorporating a norm-bounded error model, where a SCA-based iterative algorithm is also proposed. Simulation results reveal that the SCA-based iterative algorithm achieve the same performance as the semidefinite relaxation (SDR) method with reduced complexity.
- MIMO system
- secure beamforming
- semidefinite relaxation.
- successive convex approximation
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering