Inerrant-Bits Consumption for Over-the-Air Computation-based Multi-tier Computing

Junjie Wan, Fan Zhang, Kunlun Wang
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Abstract

In this paper, we propose an novel performance metric inerrant-bits consumption (IBC) in an Over-the-Air computation (AirComp) based multi-tier computing system to evaluate the computation efficiency, which is based on the total task computation and communication energy consumptions. Then we solve an optimal transmit power design problem to minimize the IBC of an AirComp system under the peak power constraint of sensors. To address the non-convexity of the optimization problem, an efficient optimization algorithm is developed to obtain a closed-form solution. Given the power allocation result, we obtain the task offloading result. By comparing our optimal power transmission policy with two benchmark policies in simulation, we show that our proposed scheme outperforms the baseline schemes with different SNR and the sensor number setups.
基于无线计算的多层计算的无误比特消耗
在本文中,我们提出了一种新的基于空中计算(AirComp)的多层计算系统的性能指标,该指标基于总任务计算和通信能耗来评估计算效率。然后,在传感器峰值功率约束下,求解了一个使AirComp系统的IBC最小的最优发射功率设计问题。为了解决优化问题的非凸性,提出了一种有效的优化算法来获得闭型解。根据功率分配结果,得到任务卸载结果。通过将我们的最优输电策略与两种基准策略进行仿真比较,我们表明我们提出的方案在不同信噪比和传感器数量设置下优于基准方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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