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arXiv 1701.06960cs.ITmath.IT
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时延约束和时延容忍通信场景下能量收集约束下的相关源重构

Reconstruction of Correlated Sources with Energy Harvesting Constraints in Delay-constrained and Delay-tolerant Communication Scenarios

Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro

摘要:

在本文中,我们研究了时间相关的源在点对点通信的情况下,包括一个能量收集传感器和融合中心(FC)的重建。我们的目标是通过使用来自先前编码源的数据作为边信息来最小化重构观测中的平均失真。首先,我们分析了一个延迟约束的情况下,源必须重建之前的下一个时隙。我们在凸优化框架中制定问题并导出最佳传输(即,功率和速率分配)策略。为了解决这个问题,我们提出了一个基于次梯度法的迭代算法。有趣的是,该问题的解决方案由二维定向注水算法(用于功率分配)和反向注水算法(用于速率分配)之间的耦合组成。然后,我们找到了一个更一般的解决方案,这个问题的延迟容忍的情况下,源重建的时间范围扩展到多个时隙。最后,我们提供了一些数值结果,说明延迟和相关性的影响,在功率和速率分配政策,并在由此产生的重建失真。我们还讨论了表现出的启发式在线政策来自最佳(离线)的差距。

英文摘要:

In this paper, we investigate the reconstruction of time-correlated sources in a point-to-point communications scenario comprising an energy-harvesting sensor and a Fusion Center (FC). Our goal is to minimize the average distortion in the reconstructed observations by using data from previously encoded sources as side information. First, we analyze a delay-constrained scenario, where the sources must be reconstructed before the next time slot. We formulate the problem in a convex optimization framework and derive the optimal transmission (i.e., power and rate allocation) policy. To solve this problem, we propose an iterative algorithm based on the subgradient method. Interestingly, the solution to the problem consists of a coupling between a two-dimensional directional water-filling algorithm (for power allocation) and a reverse water-filling algorithm (for rate allocation). Then we find a more general solution to this problem in a delay-tolerant scenario where the time horizon for source reconstruction is extended to multiple time slots. Finally, we provide some numerical results that illustrate the impact of delay and correlation in the power and rate allocation policies, and in the resulting reconstruction distortion. We also discuss the performance gap exhibited by a heuristic online policy derived from the optimal (offline) one.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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