Distributed User Association in Energy Harvesting Dense Small Cell Networks: A Mean-Field Multi-Armed Bandit Approach
Distributed User Association in Energy Harvesting Dense Small Cell Networks: A Mean-Field Multi-Armed Bandit Approach
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DOI：
10.1109/access.2017.2676166
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发表时间：
2016-04
期刊：
影响因子：
3.9
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
新兴的超密集小型蜂窝网络（ud - scn）将需要应对各种挑战。一方面，大量的设备共享有限的无线资源，由于信息获取和计算成本过高，使得集中控制机制不可行。另一方面，为了减少固定电网和/或电池的能源消耗，网络实体（例如，小型蜂窝基站和用户设备）可能需要依赖从周围环境（例如，从环境源）收集的能源。然而，机会性能量收集在网络运行中引入了不确定性。本文研究了能量收集ud - scn的分布式用户关联问题。在回顾了最新的研究之后，我们概述了由于不确定性（例如，对能量收集过程或通道剖面的有限知识）以及有限的计算能力而导致的能量收集存在的主要挑战。最后，我们提出了一种基于平均场多臂强盗博弈的方法来解决存在不确定性的UD-SCN中能量收集设备的上行用户关联问题。
The emerging ultra-dense small cell networks (UD-SCNs) will need to combat a variety of challenges. On the one hand, massive number of devices sharing the limited wireless resources renders centralized control mechanisms infeasible due to the excessive cost of information acquisition and computation. On the other hand, to reduce the energy consumption from fixed power grid and/or battery, network entities (e.g., small cell base stations and user devices) may need to rely on the energy harvested from the ambient environment (e.g., from environmental sources). However, opportunistic energy harvesting introduces uncertainty in the network operation. In this paper, we study the distributed user association problem for energy harvesting UD-SCNs. After reviewing the state-of-the-art research, we outline the major challenges that arise in the presence of energy harvesting due to the uncertainty (e.g., limited knowledge on energy harvesting process or channel profile) as well as limited computational capacities. Finally, we propose an approach based on the mean-field multi-armed bandit games to solve the uplink user association problem for energy harvesting devices in a UD-SCN in the presence of uncertainty.