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Energy-Aware Traffic Offloading for Green Heterogeneous Networks

机译:绿色异构网络的能源感知流量分流

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摘要

With small cell base stations (SBSs) densely deployed in addition to conventional macro base stations (MBSs), the heterogeneous cellular network (HCN) architecture can effectively boost network capacity. To support the huge power demand of HCNs, renewable energy harvesting technologies can be leveraged. In this paper, we aim to make efficient use of the harvested energy for on-grid power saving while satisfying the quality of service (QoS) requirement. To this end, energy-aware traffic offloading schemes are proposed, whereby user associations, ON–OFF states of SBSs, and power control are jointly optimized according to the statistical information of energy arrival and traffic load. Specifically, for the single SBS case, the power saving gain achieved by activating the SBS is derived in closed form, based on which the SBS activation condition and optimal traffic offloading amount are obtained. Furthermore, a two-stage energy-aware traffic offloading (TEATO) scheme is proposed for the multiple-SBS case, considering various operating characteristics of SBSs with different power sources. Simulation results demonstrate that the proposed scheme can achieve more than 50% power saving gain for typical daily traffic and solar energy profiles, compared with the conventional traffic offloading schemes.
机译:除了传统的宏基站(MBS)之外,密集部署的小型蜂窝基站(SBS)可以使异构蜂窝网络(HCN)体系结构有效地提高网络容量。为了满足HCN的巨大电力需求,可以利用可再生能源收集技术。在本文中,我们的目标是在满足服务质量(QoS)要求的同时,有效地利用收集的能量来节省上网电量。为此,提出了能量感知的流量卸载方案,从而根据能量到达和流量负载的统计信息共同优化用户关联,SBS的ON-OFF状态和功率控制。具体地,对于单个SBS情况,通过封闭形式导出通过激活SBS获得的节电增益,基于此,获得SBS激活条件和最佳业务卸载量。此外,考虑到具有不同电源的SBS的各种工作特性,针对多SBS情况提出了两阶段的能量感知流量卸载(TEATO)方案。仿真结果表明,与传统的交通分流方案相比,该方案可为典型的日常交通和太阳能分布图实现超过50%的节电增益。

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