PROJECT TITLE :
On Energy Harvesting Gain and Diversity Analysis in Cooperative Communications
The employment of energy harvesting cooperative relays may be a promising solution to battery-restricted wireless networks. During this paper, we have a tendency to consider a cooperative system in that one supply node transmits knowledge to 1 destination with the help of an energy harvesting decode-and-forward (DF) relay node. Our objective is to attenuate the long-term average symbol error rate (SER) performance through a Markov call method (MDP) framework. By doing therefore, we tend to realize the optimal stochastic power management at the relay that adapts the transmission power to the changes of energy harvesting, battery, channel, and decoding states. We have a tendency to derive a finite-integral expression for the exact average SER of the cooperative system. Additional insights are gained by analyzing the asymptotic average SER and its lower and higher bounds at high signal-to-noise ratio (SNR), and the performance is eventually characterized by the incidence likelihood of the relay’s actions at the worst channel states in the MDP. We have a tendency to also show that the optimal cooperative policy at asymptotically high SNR follows a threshold-type structure, i.e., the relay spends the harvested energy only when the signal is successfully decoded and the supply is faced with the worst channel condition in its direct link. Using these observations to quantify the diversity gain and therefore the energy harvesting gain, we have a tendency to reveal that full diversity is guaranteed if and only if the probability of harvesting zero energy quantum is zero, which will be achieved by reducing the energy quantum size or increasing the energy harvesting capability. Finally, we gift several numerical examples to validate the analytical findings.
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