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首页> 外文期刊>IEEE Transactions on Information Theory >On Online Energy Harvesting in Multiple Access Communication Systems
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On Online Energy Harvesting in Multiple Access Communication Systems

机译：多路访问通信系统中的在线能量收集

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摘要

We investigate performance limits of a multiple access communication system with energy harvesting nodes where the utility function is taken to be the long-term average sum-throughput. We assume a causal structure for energy arrivals and study the problem in the continuous time regime. For this setting, we first characterize a storage dam model that captures the dynamics of a battery with energy harvesting and variable transmission power. Using this model, we next establish an upper bound on the throughput problem as a function of battery capacity. We also formulate a nonlinear optimization problem to determine optimal achievable power policies for transmitters. Applying a calculus of variations technique, we then derive Euler–Lagrange equations as necessary conditions for optimum power policies in terms of a system of coupled partial integro-differential equations. Based on a Gauss–Seidel algorithm, we devise an iterative algorithm to solve these equations. We also propose a fixed-point algorithm for the symmetric multiple access setting in which the statistical descriptions of energy harvesters are identical. To further support our iterative algorithms, along with the analysis, comprehensive numerical results are also obtained.
机译：我们研究具有能量收集节点的多路访问通信系统的性能极限，其中效用函数被视为长期平均吞吐量。我们假设能量到达的因果结构，并研究连续时间范围内的问题。对于此设置，我们首先表征一个蓄水坝模型，该模型利用能量收集和可变的传输功率来捕获电池的动态。接下来，使用此模型，我们根据电池容量确定吞吐量问题的上限。我们还制定了非线性优化问题，以确定用于发射机的最佳可实现功率策略。应用变分技术，然后我们将欧拉-拉格朗日方程式作为耦合部分积分-微分方程组的最优功率策略的必要条件。基于高斯-塞德尔算法，我们设计了一种迭代算法来求解这些方程。我们还为对称多路访问设置提出了定点算法，其中能量收集器的统计描述相同。为了进一步支持我们的迭代算法，连同分析，还获得了综合的数值结果。

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