Secure transmission solutions in energy harvesting enabled cooperative cognitive radio networks

Security Analysis for Underlay Cognitive Network with Energy-Scavenging Capable Relay over Nakagami-m Fading Channels

“…Relevant users in the considered system model of the underlay cognitive radio with the energy-scavenging capable unlicensed relay R are denoted in Figure 1. e unlicensed sender S broadcasts legitimate message to the unlicensed recipient D. is transmission is wire-tapped by the eavesdropper E and interferes the signal reception of the licensed receiver P (it is almost assumed in publications related to the SSP (e.g., [26,27] and references therein) that licensed transmitters may inflict the ignorable amount of interference to unlicensed recipients; this can be justified due to long distance between licensed transmitters and unlicensed recipients or such Gaussian-distributed interferences). Due to unexpected causes (e.g., severe shadowing, deep fading, and heavy path loss), D and E may receive the signals of S not strong enough for successful decoding.…”

Impact of Channel Estimation-and-Artificial Noise Cancellation Imperfection on Artificial Noise-Aided Energy Harvesting Overlay Networks

“…Most works (e.g., [17]- [21]) assumed the artificial noise x a to be completely known at the legitimate receivers (P R and SR), not at E, in order for P R and SR to totally eliminate the effect of x a on their received signal but this assumption seems impractical because the regeneration of x a is hardly achieved with the absolute probability. Therefore, this paper assumes x a to be regenerated at P R and SR with the accuracy of 1 − χ, χ ∈ [0, 1], which indicates that χx a represents the residual artificial noise due to imperfect artificial noise cancellation at P R and SR.…”

“…Similarly, the channel capacities at E for decoding x s and x p in Stage II are inferred from (20) and (21), correspondingly, as…”

“…Most references (e.g., [17]- [21]) assumed artificial noise to be exactly known at legitimate receivers. Accordingly, these receivers completely eliminate its detrimental effect while eavesdroppers suffer severely this effect.…”

Impact of Artificial Noise on Security Capability of Energy Harvesting Overlay Networks

“…Whilst most publications have investigated the PHY security for energy harvesting (interweave/underlay) networks, a handful works have paid attention to the overlay mechanism [5,[21][22][23][24][25][26][27][28]. More specifically, [21] investigated the almost similar system model to ours but EHONs are secured by asking a devoted jammer to jam the eavesdropper.…”