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Optimal Cell Load and Throughput in Green Small Cell Networks With Generalized Cell Association

机译:具有广义小区关联的绿色小型小区网络中的最佳小区负载和吞吐量

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This paper thoroughly explores the fundamental interactions between cell association, cell load, and throughput in a green (energy-efficient) small cell network in which all base stations form a homogeneous Poisson point process (PPP) of intensity and all users form another independent PPP of intensity . Cell voidness, usually disregarded due to rarity in cellular network modeling, is first theoretically analyzed under generalized (channel-aware) cell association (GCA). We show that the void cell probability cannot be neglected any more since it is bounded above by that is typically not small in a small cell network. The accurate expression of the void cell probability for GCA is characterized and it is used to derive the average cell and user throughputs. We learn that cell association and cell load significantly affect these two throughputs. According to the average cell and user throughputs, the green cell and user throughputs are defined respectively to reflect whether the energy of a base station is efficiently used to transmit information or not. In order to achieve satisfactory throughput with certain level of greenness, cell load should be properly determined. We present the theoretical solutions of the optimal cell loads that maximize the green cell and user throughputs, respectively, and verify their correctness by simulation.
机译:本文彻底探讨了绿色(节能)小型小区网络中小区关联,小区负载和吞吐量之间的基本相互作用,其中所有基站形成强度的均质泊松点过程(PPP),所有用户形成另一个独立的PPP强度。通常首先在广义(信道感知)细胞关联(GCA)下从理论上分析通常由于细胞网络建模中的稀疏性而被忽略的细胞空度。我们表明,空单元概率不能再被忽略了,因为它的局限性在小型蜂窝网络中通常不小。对GCA的无效小区概率的准确表达进行了表征,并将其用于得出平均小区和用户吞吐量。我们了解到,单元关联和单元负载会显着影响这两个吞吐量。根据平均小区吞吐量和用户吞吐量,分别定义绿色小区吞吐量和用户吞吐量,以反映基站的能量是否被有效地用于传输信息。为了以一定程度的绿色实现令人满意的吞吐量,应适当确定单元负载。我们提出了最佳小区负载的理论解决方案,它们分别使绿色小区和用户吞吐量最大化,并通过仿真验证其正确性。

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