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Tradeoff Analysis between Spectrum Efficiency and Energy Efficiency in Heterogeneous Networks (HetNets) Using Bias Factor

机译:使用偏置因子的异构网络(HetNets)频谱效率与能效之间的折衷分析

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摘要

Recently, Small Base Stations (SBSs) are added to macro-cell layout to extend network coverage and increase system capacity. Whereas, most of the users incline to connect to Macro Base Stations (MBSs) due to their overwhelmingly higher transmit power. As a result, the unbalanced distribution of load leads to the underutilization of the resources of SBSs, which may deteriorate the network performance. The small Cell Range Expansion (CRE) aims at solving the problem by setting a positive bias factor. Although this technology turns out to be effective, it's not easy to understand the corresponding effect on network performance. Therefore, the average area weighted load per cell is derived to address this issue. Meanwhile, we utilize Area Weighted Spectrum Efficiency (AWSE) and Area Weighted Energy Efficiency (AWEE) to observe the effect of bias factor from the perspective of cells per tier. Further, the efficiency (SE) and efficiency (EE) of different tiers are calculated on tier level. Simulation results show that there is a tradeoff between the overall SE and EE with varying bias factors, which provides a new insight into the analysis of network performance.
机译:最近,将小型基站(SBS)添加到宏小区布局以扩展网络覆盖范围并增加系统容量。而大多数用户由于其压倒性的更高发射功率而倾向于连接到宏基站(MBS)。结果,负载的不平衡分布导致SBS资源的利用不足,从而可能会降低网络性能。小小区范围扩展(CRE)旨在通过设置正偏差因子来解决该问题。尽管该技术非常有效,但要理解对网络性能的相应影响并不容易。因此,得出每个单元的平均面积加权负载以解决此问题。同时,我们利用面积加权频谱效率(AWSE)和面积加权能量效率(AWEE)从每层小区的角度观察偏差因子的影响。此外,在层级上计算不同层的效率(SE)和效率(EE)。仿真结果表明,在具有不同偏差因子的总体SE和EE之间要进行权衡,这为网络性能分析提供了新的见识。

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