Efficient Blind and Semi-Blind Approaches on Encoded Wiretap Full-Duplex Transmissions
Abstract
This paper investigates the secrecy coding analysis of encoded wiretap Full-Duplex transmission respected to various eavesdropper positions. To limit the effect of interference and self-jamming/jamming signals sending by the legitimate receiver and eavesdropper, a combination of joint iterative blind/semiblind channel estimation, decoding algorithms and self-jamming techniques is used. In fact, these algorithms employ a feedback loop to estimate and reduce SI components while also estimating the propagation channel and decoding the messages. The results reveal that blind/semi-blind algorithms give a better solution than conventional without feedback algorithms by significantly reducing and giving smaller security gap. Furthermore, they are less sensitive to the eavesdropper's movement by maintaining security gap in an acceptable level. The results also indicate that the suggested algorithms have a capability to notably decrease the self-jamming power required at the authorized receiver to obtain the same security level. It shows a robustness in several factors such as security, reliability and power consumption, which is suitable for short-packet Internet of Things transmissions and green communications
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