This paper proposed and investigated the one-way amplify-and-forward (AF) full-duplex relaying network under impact of direct link. For the system performance analysis, the exact and lower and upper bound form of the system outage probability (OP) are investigated and derived. In this system model, authors assume that the E uses the maximal ratio combining (MRC) technique. Finally, we can see that the analytical and the simulation values overlap to verify the analytical section using the Monte

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... arlo simulation. Also, we investigate the influence of the system primary parameters on the proposed system OP. Keywords: Energy harvesting Monte Carlo simulation Outage probability Relaying network This is an open access article under the CC BY-SA license. INTRODUCTION Radio frequency (RF) signals can carry both information and energy can be considered as the main electrical sources in communication network, called wireless powered networks (WPNs) [1]-[10]. In [11] , authors studied the outage probability between some points based on the tradeoff fundamental, and [12] proposed and designed the practical receiver for energy and information transmission and its advantages for the communication network. Furthermore, the authors in [13] presented and demonstrated the practical energy harvesting communication network, and [14] proposed and investigated the continuous energy and power transmission in the cognitive relaying communication network. Moreover, the time switching and the power splitting protocols design for the communication network and the comparison between them are proposed and investigated in [15]-[18]. This paper proposed and investigated the one-way amplify-and-forward (AF) full-duplex relaying network under impact of direct link. For the system performance analysis, the exact and lower and upper bound form of the system outage probability (OP) are investigated and derived. In this system model, authors assume that the E uses the maximal ratio combining (MRC) technique. Finally, we can see that the analytical and the simulation values overlap to verify the analytical section using the Monte Carlo simulation. Also, we investigate the influence of the system primary parameters on the proposed system OP.