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Data rate maximization by adaptive thresholding RF power management under renewable energy

机译:可再生能源下自适应阈值电源管理的数据速率最大化

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A new adaptive thresholding power management (ATPM) scheme is proposed to maximize the data rate of RF circuits in distributed embedded systems powered by renewable energy. Considering time-varying fading channels and statistical energy harvesting processes, we propose to turn on RF circuits only when the channel gain is higher than a threshold, and adjust the RF power according to the energy availability to improve the overall data rate. Exploiting the fact that the optimal threshold is a function of variable renewable energy subject to environmental changes, we adaptively adjust the threshold in accordance with renewable energy to improve energy efficiency. Simulation results based on solar energy indicate that the proposed ATPM scheme increases the average data rate by up to 60% compared with the scheme without channel gain thresholding, and achieves over 5X improvement in data rate over the constant power scheme with the same RF power consumption.
机译:提出了一种新的自适应阈值电源管理(ATPM)方案,以最大化由可再生能量供电的分布式嵌入式系统中RF电路的数据速率。考虑到时变衰落通道和统计能量收集过程,我们建议仅当信道增益高于阈值时打开RF电路,并根据能量可用性调整RF功率以提高整体数据速率。利用最佳阈值是可变可再生能源的函数受环境变化的函数,我们根据可再生能量自适应地调整阈值以提高能量效率。基于太阳能的仿真结果表明,与没有信道增益阈值的方案相比,所提出的ATPM方案将平均数据速率提高至多60%,并在具有相同RF功耗的恒定功率方案上实现了超过5倍的数据速率提高。

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