Personal Picocell Scheme Using Adaptive Control CRE in Heterogeneous Mobile Networks

Personal Picocell Scheme Using Adaptive Control CRE in Heterogeneous Mobile Networks
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DOI:
10.3390/jsan9040048
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发表时间:
2020-12
期刊:
J. Sens. Actuator Networks
影响因子:
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通讯作者:
Kento Fujisawa;Fumiya Kemmochi;H. Otsuka
Kento Fujisawa;Fumiya Kemmochi;H. Otsuka
中科院分区:
其他
文献类型:
--
作者:
Kento Fujisawa;Fumiya Kemmochi;H. Otsuka

文献摘要

相似文献

在相同覆盖范围中与宏小区和微微小区相结合的异构网络(HetNet)被期望进一步增加第五代移动的系统及以后的系统容量。在HetNet中,小区范围扩展(CRE)技术起着重要的作用,并且可以允许更多的用户设备(UE)接入微微小区,即,实际上扩大了微微小区的覆盖范围。然而,如果UE被迫连接到微微小区,则为所有UE提供固定小区选择偏移(CSO)的常规CRE技术可能恶化用户吞吐量,因为UE的接收信号与干扰加噪声比变得更低。因此,我们提出了一个个人微微小区方案,使用自适应控制CRE技术,以提高用户吞吐量,其中不同的CSO被分配给UE,以形成每个最佳的微微小区为每个UE。在本文中,我们首先描述了所提出的方案的方面和算法。然后,我们通过使用两种类型的HetNet的系统级计算机模拟,即,单波段和多波段HetNet。在仿真中,我们首先澄清的自适应控制CRE的最佳参数。然后,我们显示的平均和5百分位数的用户吞吐量的优化自适应控制CRE与传统的CRE相比。从这些结果中,我们证实,使用自适应控制CRE的个人微微小区方案可以提高5%的用户吞吐量,同时保持平均用户吞吐量相比,传统的CRE。
Heterogeneous networks (HetNets), which are combined with a macrocell and picocell in the same coverage, are expected to further increase the system capacity in fifth-generation mobile systems and beyond. In HetNets, the cell range expansion (CRE) technique plays an important role and can allow more user equipment (UE) to access the picocell, i.e., virtually expand the picocell coverage. However, conventional CRE techniques that provide a fixed cell selection offset (CSO) for all UE may worsen user throughput if UE is forced to connect to the picocell because the received signal-to-interference plus noise ratio of the UE becomes lower. Therefore, we propose a personal picocell scheme using an adaptive control CRE technique to improve user throughput in which different CSOs are assigned to UE to form each optimal picocell for each UE. In this paper, we first describe the aspects and algorithm of the proposed scheme. Then, we show the user throughput for adaptive control CRE in comparison with conventional CRE by using system-level computer simulations for the two types of HetNets, i.e., single-band and multi-band HetNets. In the simulations, we first clarify the optimal parameters of the adaptive control CRE. We then show the average and 5-percentile user throughput of the optimized adaptive control CRE in comparison with that of conventional CRE. From these results, we confirmed that the personal picocell scheme using the adaptive control CRE can improve the 5-percentile user throughput while maintaining the average user throughput compared with that of conventional CRE.