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Queue-Aware Small Cell Activation for Energy Efficiency in Two-Tier Heterogeneous Networks

机译:在两层异构网络中提高效率的队列感知小小区激活

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In heterogeneous networks (HetNets), the network energy efficiency is critically determined by the base station (BS) deployment density. In this paper, we consider a BS density optimization problem by turning on only a fraction of micro BSs according to an activation ratio to minimize the network average power consumption per area in a 2- tier HetNet. In contrast to previous studies where a BS is assumed to be transmitting packets all the time, such that the network power consumption monotonically increases as the BS density increases, we assume that each BS can be busy or idle depending on the dynamic packet arrivals. The network power consumption is thus closely related to the average traffic intensity of each tier. With the assumption of universal spectrum reuse, the average traffic intensity of each tier is found to be uniquely determined by a set of fixed-point equations, based on which the network average power consumption per area is characterized. Simulation results demonstrate that the network average power consumption per area can be minimized by properly tuning the activation ratio. It is further revealed that the optimal activation ratio increases as the mean packet arrival rate of each user increases.
机译:在异构网络(HetNets)中,网络能效主要取决于基站(BS)的部署密度。在本文中,我们通过根据激活率仅打开一小部分微型BS来考虑BS密度优化问题,以最大程度地降低2层HetNet中每区域的网络平均功耗。与以前的研究假设BS一直在发送数据包,从而使网络功耗随BS密度的增加而单调增加的情况相反,我们假设每个BS都可以根据动态数据包的到达而处于繁忙或空闲状态。因此,网络功耗与每一层的平均流量强度密切相关。在通用频谱复用的假设下,发现每层的平均业务强度由一组定点方程唯一地确定,基于定点方程可表征每区域的网络平均功耗。仿真结果表明,通过适当调整激活比率,可以将每区域的网络平均功耗降至最低。进一步揭示出,最佳激活率随着每个用户的平均分组到达率的增加而增加。

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