In this study,we analyzed the performance of an Unmanned Aerial Vehicle(UAV)-based mixed Underwater Power Line Communication-Radio Frequency(UPLC-RF)*** this network,a buoy located at the sea is used as a relay to tra...
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In this study,we analyzed the performance of an Unmanned Aerial Vehicle(UAV)-based mixed Underwater Power Line Communication-Radio Frequency(UPLC-RF)*** this network,a buoy located at the sea is used as a relay to transmit signals from the underwater signal source to the UAV through the PLC *** assume that the UPLC channel obeys a log-normal distribution and that the RF link follows the Rician *** this model,we obtained the closed-form expressions for the Outage Probability(OP),average bit-error-rate(ABER),and average Channel Capacity(ACC).In addition,the asymptotic analysis of the OP and ABER was performed,and an upper bound for the average capacity was ***,the analytical results were verified by Monte Carlo simulation thereby demonstrating the effect of impulse noise and the altitude of the UAV on network performance.
In this work, we propose an unmanned aerial vehicle (UAV)-based reconfigurable intelligent surface (RIS)-assisted dual-hop power line communication and radio frequency (PLC-RF) system, in which a UAV-based RIS (URIS) ...
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In this work, we propose an unmanned aerial vehicle (UAV)-based reconfigurable intelligent surface (RIS)-assisted dual-hop power line communication and radio frequency (PLC-RF) system, in which a UAV-based RIS (URIS) located in the sky forwards signals from the relay to the terrestrial user. More specifically, we assume that the PLC channel suffers from a log-normal distribution, and the URIS-assisted RF link follows the Rician distribution. With the amplify-and-forward (AF) and decode-and-forward (DF) relaying models, the closed-form expressions for the outage probability and average bit-error-rate are derived. In addition, by taking into account the hardware impairments, the outage probability of the non-ideal hardware system is derived. Finally, the Monte Carlo simulation verifies the analytical results, which demonstrates the effect of impulsive noise and the number of the reflecting surface units on the system performance.
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