Optimal power allocation for a renewable energy source
Optimal power allocation for a renewable energy source
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DOI：
10.1109/ncc.2012.6176889
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发表时间：
2011-10
期刊：
影响因子：
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通讯作者：
Abhinav Sinha;P. Chaporkar
中科院分区：
文献类型：
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作者：
Abhinav Sinha;P. Chaporkar
电池供电的发射机面临能量限制，通过可再生能源（如太阳能或风能）补充能量可以延长使用寿命。本文研究无线发射机在随机信道条件下的最佳功率分配问题，使信息传输速率最大化。在这里，一个可充电的电池，由可再生能源定期充电，被用来为发射机供电。所有这些都被表述为一个马尔可夫决策过程。本文导出的最优值和策略的单调性等结构性质对于理解现实场景中所需的算法和近似类型至关重要。这样可以减少动态规划问题中普遍存在的维数诅咒的影响。我们在最一般的假设下展示我们的结果。
Battery powered transmitters face energy constraint, replenishing their energy by a renewable energy source (like solar or wind power) can lead to longer lifetime. We consider here the problem of finding the optimal power allocation under random channel conditions for a wireless transmitter, such that rate of information transfer is maximized. Here a rechargeable battery, which is periodically charged by renewable source, is used to power the transmitter. All of above is formulated as a Markov Decision Process. Structural properties like the monotonicity of the optimal value and policy derived in this paper will be of vital importance in understanding the kind of algorithms and approximations needed in real-life scenarios. The effect of curse of dimensionality which is prevalent in Dynamic programming problems can thus be reduced. We show our results under the most general of assumptions.