2016
DOI: 10.1109/lcomm.2016.2528260
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Performance of Wireless Powered Amplify and Forward Relaying Over Nakagami- Fading Channels With Nonlinear Energy Harvester

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Cited by 171 publications
(141 citation statements)
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“…Moreover, the outage probability becomes worse for a larger number of interference signals M. However, for high values of a, the influence of the number of interference signals and threshold power diminishes. The outage probability is then determined by the approximate expression in (21), that is, by the parameter values of the first hop. In this case, the number of interference signals, that is, the interference power at the destination, and P th do not have a significant influence on the outage probability.…”
Section: Numerical Resultsmentioning
confidence: 99%
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“…Moreover, the outage probability becomes worse for a larger number of interference signals M. However, for high values of a, the influence of the number of interference signals and threshold power diminishes. The outage probability is then determined by the approximate expression in (21), that is, by the parameter values of the first hop. In this case, the number of interference signals, that is, the interference power at the destination, and P th do not have a significant influence on the outage probability.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…As the electronic devices implemented in the energy harvester at the relay are nonlinear elements, we apply a nonlinear model for the energy harvester [21]. The harvested energy is linearly proportional to the input power for the values below the saturation threshold power P th .…”
Section: System and Channel Modelmentioning
confidence: 99%
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“…It is characterized by a large distance separating transmitter and receiver. Several statistical models are used to describe fading in wireless environments and the most frequently used distribution for large scale fading is shadowing, while for small scale fading, Rayleigh, and Ricean [19] can be used. These statistical models are used to accurately predict the fading effect.…”
Section: Communication Challenges Of Smart Grid Environmentsmentioning
confidence: 99%
“…Recently, the use of cooperative communication in EH-WSN has attracted some interest [11,12]. For example, Kuang-Hao Liu has investigated a battery-aware relay selection scheme, which is called BARS, for energy harvesting (EH) relays with finite energy storage [13].…”
Section: Introductionmentioning
confidence: 99%