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Green topological potential-based optimization for power and spectral efficiency tradeoff in LTE HetNets

机译：LTE HetNets中基于绿色拓扑势能的功率和频谱效率折衷优化

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摘要

As the data traffic demand increases continuously, LTE Heterogeneous Networks (HetNets) with macro-cells and small-cells seems to be the best solution to enhance the quality of user experience by increasing the coverage and capacity of cellular networks. One of the important challenges in such networks is the user association problem. Several approaches have been proposed for this purpose: based for instance on spectral efficiency or load balancing. However, since many factors impact the power consumption of the eNodeBs and therefor the total energy consumption in the cell, defining new rules and approaches to reduce the power consumption in LTE HetNets is needed. In this paper we propose a power efficient user association scheme. Our solution aims to achieve a tradeoff between user quality of experience and power efficiency in such heterogeneous cellular networks taking into account user mobility. For this to happen, we introduce a new metric: the Green Topological Potential approach (GTP). It combines energy efficiency (EE) and spectral efficiency (SE) metrics when selecting the target cell. Simulation results show that a power gain can be achieved compared to path-loss based and received power based algorithms while maintaining acceptable spectral efficiency.
机译：随着数据流量需求的不断增加，具有宏小区和小小区的LTE异构网络（HetNets）似乎是通过增加蜂窝网络的覆盖范围和容量来提高用户体验质量的最佳解决方案。在这种网络中的重要挑战之一是用户关联问题。为此，已经提出了几种方法：例如基于频谱效率或负载平衡。然而，由于许多因素影响eNodeB的功耗并因此影响小区中的总能耗，因此需要定义新的规则和方法以减少LTE HetNets中的功耗。在本文中，我们提出了一种高效的用户关联方案。我们的解决方案旨在在考虑用户移动性的情况下，在这种异构蜂窝网络中实现用户体验质量和功率效率之间的折衷。为此，我们引入了一个新的度量标准：绿色拓扑潜力方法（GTP）。选择目标电池时，它将能量效率（EE）和频谱效率（SE）指标结合在一起。仿真结果表明，与基于路径损耗和基于接收功率的算法相比，可以实现功率增益，同时保持可接受的频谱效率。

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