可再生能源下自适应阈值射频功率管理的数据速率最大化

Weiguo Tang, Lei Wang
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引用次数: 11

摘要

针对分布式可再生能源嵌入式系统中射频电路的数据速率最大化问题,提出了一种新的自适应阈值功率管理(ATPM)方案。考虑时变衰落信道和统计能量收集过程,我们提出仅在信道增益高于阈值时打开射频电路,并根据能量可用性调整射频功率以提高整体数据速率。利用最优阈值是可变可再生能源随环境变化的函数,根据可再生能源自适应调整阈值,以提高能源效率。基于太阳能的仿真结果表明,与无信道增益阈值方案相比,提出的ATPM方案的平均数据速率提高了60%以上,在相同射频功耗的情况下,数据速率比恒功率方案提高了5倍以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data rate maximization by adaptive thresholding RF power management under renewable energy
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.
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