부산대학교 도서관

Energy efficiency is regards as an important problem in energy-limited wireless medical sensor networks owing to the energy shortage. On the other hand, full-duplex is considered as the promising technology for the future wireless consumer medical sensor networks that provides higher transmission rate. In this paper, we discussed a secure energy-efficient beamformer design that was impaired by channel state information (CSI) for two-way multi-input multi-output (MIMO) wireless medical sensor networks in smart healthcare, enabling simultaneous wireless data and power communication. We consider the norm-bounded channel error model and pose a new worse case maximization problem in terms of secure energy efficiency, aiming to promote the secure rate and reduce the networks power consumption, subject to meeting several reality constraints such as the full-duplex transmitter’s power constraint and the minimum harvested energy constrains. To handle the non-convex problem, we firstly examine the relationship between rate and weighted mean square error (WMSE), then utilize the sign-definiteness and S-procedure lemma to eliminate the impact of channel errors. Furthermore, an iterative green secure beamformer design algorithm is developed. The numerical results show that our proposed algorithm has the better performance compared with the conventional schemes in terms of secure-energy-efficiency. Specifically, our proposed algorithm improves secrecy energy efficiency by 57.14%, as compared to the half-duplex secure transmission scheme.