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How D2D communication influences energy efficiency of small cell network with sleep scheme

机译:D2D通信如何通过睡眠方案影响小型蜂窝网络的能源效率

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In this paper, we consider the potential influences on energy efficiency when Device to Device (D2D) communication is introduced to small cell network with sleep scheme. To begin with, we obtain the optimal sleep strategy for small cells, then we define parameters sleep ratio (SR) and maximum sleeping cell (MSC) to describe system dormant situation. Furthermore, parameters λ and θ are defined to indicate the D2D offloading ratio as well as geographic distribution of D2D users. We show that D2D communication will always be energy beneficial to the base station side. However, when considering the overall energy consumption (users included), D2D Assisted Sleep Mode (DASM) may cost more energy than D2D Forbidden Sleep Mode (DFSM). We demonstrate that to obtain the λ scope where DASM is energy efficient, it equals to calculate the positive range of a quadratic function f(θ,λ). Therefore, D2D scheduling scheme should be self-adaptive according to the f(θ, λ) curve to keep the network energy efficient. The analysis method in this paper should be universal regardless of the specific system models.
机译:在本文中,我们考虑了将设备到设备(D2D)通信引入具有睡眠方案的小型蜂窝网络时对能源效率的潜在影响。首先,我们获得了针对小型小区的最佳睡眠策略,然后定义参数睡眠比率(SR)和最大睡眠小区(MSC)来描述系统处于休眠状态。此外,定义参数λ和θ以指示D2D卸载率以及D2D用户的地理分布。我们证明了D2D通信将永远是有益于基站方面的能量。但是,在考虑总体能耗(包括用户)时,D2D辅助睡眠模式(DASM)可能比D2D禁止睡眠模式(DFSM)消耗更多的能量。我们证明,要获得DASM高效节能的λ范围,就等于计算二次函数f(θ,λ)的正范围。因此,D2D调度方案应根据f(θ,λ)曲线自适应,以保持网络能量效率。不管具体的系统模型如何,本文的分析方法应该是通用的。

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