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Modeling for small cell networks in 5G communication environment
Telecommunication Systems ( IF 1.7 ) Pub Date : 2022-04-13 , DOI: 10.1007/s11235-022-00891-5
Tae-Yeun Kim 1 , A. K. Singh 2 , Hoon Ko 3, 4
Affiliation  

The small cell structure in which many cells are arranged per unit area by reducing the size of cells is a candidate technology for an increase in transmission capacity in the 5G environment. However, the decrease in the size of the cell led to additional problems such as increased inter cell interference and frequent cell changes owing to the movement of the terminal. Therefore, the aim of this study was to propose small cell dynamic channel allocation (SDCA) and hybrid and dynamic channel allocation (HDCA) using conventional reuse methods to improve the macro cell performance while efficiently utilizing scarce frequency resources. The proposed method facilitates an improved performance that is lacking for macro-cell users in the center area of the cell boundary for the network where conventional macro cells and small cells are superposed. Furthermore, to improve the performance, it can provide resources that are lacking in the small cells of the center. To evaluate the performance, the proposed method was compared to frequency reuse factor1 (FRF1), frequency reuse factor3 (FRF3), and fractional frequency reuse (FFR) methods in terms of the signal-to-interference/noise-ratio (SINR) of users of each macro cell and small cell, outage, capacity for each user, and total system capacity. As a result of comparing the SINR, it was confirmed that the performance of the macro cell users has improved by an average of 43.88% compared to FRF1, FRF3, and FFR, and the performance of small cell users has improved by an average of 4.31%. Comparison results show that the outage proportions of the macro and small cell users are 61.29% and 70.59% lower on average, respectively. A comparison of results show that the capacities of the macro and small cell users have also improved by 22.5% and 14.5% on average, respectively. As the comparison results of the total system capacity indicate, the proposed method shows an average improvement of 11.67%. In cases in which the added resources of the small cells are found to be unnecessary based on the results of the performance evaluation, there is an advantage in that they can be reduced to improve the performance of macro cell users, or they can be used to fill the insufficient resources of the small cells while maintaining the performance of the macro cell users. This fluidity originates from the ability to address occasional situations in a dense environment. These two approaches are expected to be used effectively in 5G network environments.



中文翻译:

5G 通信环境中小型蜂窝网络的建模

通过减小小区大小,在每单位面积上布置多个小区的小小区结构是5G环境中增加传输容量的候选技术。然而,小区尺寸的减小导致了额外的问题,例如由于终端的移动而增加的小区间干扰和频繁的小区变化。因此,本研究的目的是提出使用传统重用方法的小小区动态信道分配(SDCA)和混合动态信道分配(HDCA),以提高宏小区的性能,同时有效地利用稀缺的频率资源。所提出的方法有助于提高传统宏小区和小小区重叠的网络的小区边界中心区域中的宏小区用户所缺乏的性能。此外,为了提高性能,它可以提供中心小蜂窝所缺乏的资源。为了评估性能,将所提出的方法与频率复用因子 1 (FRF1)、频率复用因子 3 (FRF3) 和分数频率复用 (FFR) 方法在信干噪比 (SINR) 方面进行了比较。每个宏小区和小小区的用户、中断、每个用户的容量以及系统总容量。对比SINR,确认宏小区用户性能较FRF1、FRF3、FFR平均提升43.88%,小小区用户性能平均提升4.31% %。比较结果表明,宏蜂窝和小蜂窝用户的中断比例平均分别降低了 61.29% 和 70.59%。结果对比表明,宏蜂窝和小蜂窝用户的容量也分别平均提升了22.5%和14.5%。正如系统总容量的比较结果所示,所提出的方法平均提高了 11.67%。在根据性能评估的结果发现小小区的增加资源是不必要的情况下,优点在于可以减少它们以提高宏小区用户的性能,或者它们可以用于在维持宏小区用户性能的同时,填补小小区的不足资源。这种流动性源于在密集环境中处理偶发情况的能力。这两种方法有望在 5G 网络环境中有效使用。

更新日期:2022-04-13
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