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Energy Harvesting Communications With Batteries Having Cycle Constraints

机译:能量收集与具有循环约束的电池的通信

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Practical energy harvesting (EH) based communication systems typically use a battery to temporarily store the harvested energy prior to its use for communication. The battery capacity can quickly degrade with time if it is subject to repeated shallow charge-discharge cycles. This motivates the cycle constraint which mandates that a battery must be charged only after it is sufficiently discharged and vice versa. We consider a Bernoulli energy arrival model, and a half-duplex battery constraint. In this context, we study EH communication systems with: (a) a single battery with capacity 2B units and (b) dual batteries, each having capacity of B units. The aim is to obtain the best possible long-term average throughputs in point-to-point (P2P) channels and multiple access channels (MAC). For the P2P channel, we obtain an analytical optimal solution in the single battery case, and propose optimal and suboptimal power allocation policies for the dual battery case. We extend these policies to obtain achievable throughput regions in MACs by jointly allocating rates and powers. From numerical simulations, we find that the optimal throughput in the dual battery case can be more than twice of that in the single battery case, although the total energy storage capacity in both cases is 2B units.
机译:基于实用的能量收集(EH)的通信系统通常使用电池暂时将收获的能量暂时存放在其用于通信之前。如果受到重复的浅电荷 - 放电循环,电池容量可以随时间迅速降低。这激励了循环约束,该限制仅在充分放电后必须仅收取电池,反之亦然。我们考虑伯努利能量到达模型,以及半双工电池约束。在这方面,我们研究了EH通信系统:(a)一个具有容量2b单元的单个电池和(b)双电池,每个容量B单位容量。目的是在点对点(P2P)通道和多个访问通道(MAC)中获得最佳可能的长期平均吞吐量。对于P2P通道,我们在单个电池盒中获得分析最佳解决方案,并为双电池盒提出最佳和次优电源分配策略。我们通过共同分配利率和权力来扩展这些政策以获得MAC中可实现的吞吐量。根据数值模拟,我们发现双电池盒中的最佳吞吐量可以在单个电池外壳中的两倍多,但两种情况下的总能量存储容量是2B单元。

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