Postdisaster User Location Maneuvering Method for Improving the QoE Guaranteed Service Time in Energy Harvesting Small Cell Networks
Postdisaster User Location Maneuvering Method for Improving the QoE Guaranteed Service Time in Energy Harvesting Small Cell Networks
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DOI：
10.1109/tvt.2017.2702750
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发表时间：
2017-05
影响因子：
6.8
通讯作者：
Katsuya Suto;Hiroki Nishiyama;N. Kato
中科院分区：
文献类型：
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作者：
Katsuya Suto;Hiroki Nishiyama;N. Kato
能量采集小蜂窝网络(EH-SCN)的概念引起了人们的极大关注，因为它具有以较低的资本支出和运营成本满足指数增长的移动数据流量的潜力。此外，由于利用绿色能源为小型蜂窝基站供电可以克服灾难造成的电力中断，预计它们将作为灾后无线接入网络发挥作用。然而，由于采集的电量不足以维持网络的稳定运行，网络需要配备节能组网技术。此外，为了共享准确的灾后信息，网络必须满足灾区用户一定的体验质量。为了应对这些挑战，我们提出了一种用户位置调整方法，通过咨询控制用户的移动来提高EH-SCN的服务时间，同时保证一定的QOE水平。我们还提出了一种基于粒子群优化的算法，通过设置适当的设置来高效地找到用户的最佳位置。大量的计算机仿真表明，与现有的网络运营方法相比，所提出的机动方法能够提高服务质量保证比。
The concept of energy harvesting small cell networks (EH-SCNs) has attracted a great deal of attention due to their potential to meet the exponential growth of mobile data traffic with low capital expenditure and operating expenditure. In addition, they are expected to work as a postdisaster wireless access network since exploiting green energy sources to power small cell base stations can overcome the power disruption caused by disasters. However, since the amount of harvested power is not enough for the stable network operation, the networks need to equipped with energy-efficient networking techniques. Additionally, in order to share the accurate postdisaster information, the networks should satisfy a certain quality of experience (QoE) of users in disaster areas. To deal with these challenges, we propose a user location maneuvering method, which advisory controls user's movement to improve the service time of EH-SCNs while guaranteeing a certain QoE level. We also propose an algorithm based on particle swarm optimization, which is configured with appropriate settings to find the best location of users efficiently. Extensive computer simulations show that the proposed maneuvering method can improve the QoE guaranteed service ratio, compared with the existing network operation approaches.