Distributed User Association in Energy Harvesting Small Cell Networks: An Exchange Economy With Uncertainty
Distributed User Association in Energy Harvesting Small Cell Networks: An Exchange Economy With Uncertainty
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DOI：
10.1109/tgcn.2017.2715349
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发表时间：
2015-11
影响因子：
4.8
通讯作者：
S. Maghsudi;E. Hossain
中科院分区：
文献类型：
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作者：
S. Maghsudi;E. Hossain
我们考虑一个小小区网络的下行链路中的用户关联问题，其中小小区仅通过环境能量收集来供电。由于能量收集本质上是机会主义的，因此收集的能量的量是随机变量，而没有先验已知的统计特性。因此，在用户关联时，可用能量的量是未知的。我们将网络建模为一个具有不确定性的竞争市场，在这个市场中，以消费者为模型的自利小细胞愿意通过选择以商品为代表的用户来最大化其效用分数。小细胞的效用分数取决于收集的能量的随机量，以自然状态表示。对于这个模型，我们证明了Arrow-Debreu平衡点的存在性。此外，我们分析了均衡的唯一性，帕累托效率和社会最优性。此外，基于Walras的tatonoment过程和静态背包问题，我们开发了一个有效的分布式用户关联方案，收敛到平衡。我们证明了我们提出的模型的有效性，通过密集的数值分析。
We consider a user association problem in the downlink of a small cell network, where small cells are powered solely through ambient energy harvesting. Since energy harvesting is opportunistic in nature, the amount of harvested energy is a random variable, without a priori known statistical characteristics. Thus, at the time of user association, the amount of available energy is unknown. We model the network as a competitive market with uncertainty, where self-interested small cells, modeled as consumers, are willing to maximize their utility scores by selecting users, represented as commodities. The utility scores of small cells depend on the random amount of harvested energy, formulated as nature’s state. For this model we prove the existence of Arrow-Debreu equilibrium. In addition, we analyze the equilibrium with respect to uniqueness, Pareto-efficiency, and social-optimality. Moreover, based on the Walras’ tatonnoment process and the static knapsack problem, we develop an efficient distributed user association scheme which converges to the equilibrium. We demonstrate the effectiveness of our proposed model through intensive numerical analysis.