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Energy-Efficient D2D-Aided Fog Computing under Probabilistic Time Constraints
In this paper, we address the problem of resource allocation with respect to task partitioning, computation resources and transmit power in a D2D-aided fog computing scenario, aiming to minimize the expected total energy consumption under probabilistic constraints on the processing time.
Channel Estimation for Visible Light Communications Using Neural Networks
In this work, a novel methodology is proposed for the prediction of channel parameters using neural networks.
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