Secure Beamforming in Full-Duplex MISO-SWIPT Systems With Multiple Eavesdroppers
作者： Yanjie Dong , Ahmed El Shafie , Md. Jahangir Hossain , Julian Cheng , Naofal Al-Dhahir
关键词: Wireless 、 Transmission (telecommunications) 、 Mathematical optimization 、 Relaxation (approximation) 、 Base station 、 Artificial noise 、 Telecommunications link 、 Computer science 、 Beamforming
摘要: The joint design of beamforming and artificial noise vectors is proposed for the full-duplex simultaneous wireless information power transferring (FD-SWIPT) systems when multiple eavesdroppers can wiretap from FD base station (FD-BST) user equipment (FD-UE). To guarantee high security energy harvesting performance FD-SWIPT system, formulated as a sum-information-transmission-rate-maximization (SITRM) problem under information-leakage constraints. Besides, we consider fairness issue between uplink downlink information-transmission rates by formulating fairness-aware-SITRM (FA-SITRM) problem. Since receive FD-BST FD-UE, region becomes non-convex challenging to handle. Hence, propose efficient algorithms solve SITRM FA-SITRM problems optimally via semidefinite relaxation (SDR) 1-D search. In each search iteration, our recover rank-one constraints application SDR cannot obtain optimal solutions. Moreover, analyze computational complexities two suboptimal solutions problems. For problem, numerical results show that achieved one close algorithm with increasing maximum transmission FD-BST.
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