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Reconstruction of Correlated Sources with Energy Harvesting Constraints

机译:具有能量收集约束的相关资源的重构

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In this paper, we investigate how to minimize the distortion in the reconstruction of correlated sources.We consider a communication scenario where a sensor node is capable of harvesting energy from the environment and where the Fusion Center (FC), in order to exploit correlation, uses past observations as side information for decoding. We provide a convex formulation of the problem and derive the optimal transmission policies (i.e., power and rate allocation). We also propose an iterative procedure based on the subgradient method by means of which a solution can be iteratively found. Interestingly, each iteration entails the interaction (coupling) of a directional water-filling and a reverse water-filling schemes. Numerical results are provided in order to illustrate the impact of correlation in the resulting transmission policies.
机译:在本文中,我们研究了如何在相关源重建中最大程度地减少失真。我们考虑了一种通信场景,其中传感器节点能够从环境中收集能量,而Fusion Center(FC)可以利用此场景进行关联,使用过去的观察作为辅助信息进行解码。我们提供了问题的凸表达,并得出了最佳的传输策略(即功率和速率分配)。我们还提出了一种基于次梯度方法的迭代过程,通过该过程可以迭代地找到一个解决方案。有趣的是,每次迭代都需要定向注水方案和反向注水方案的相互作用(耦合)。提供了数值结果,以说明相关性对最终传输策略的影响。

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