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首页> 外文期刊>Mobile networks & applications >Loading Aware Green Power Control (LAGPC) for the Mitigation of Co-Tier Downlink Interference for Femtocell in the Future 5G Networks
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Loading Aware Green Power Control (LAGPC) for the Mitigation of Co-Tier Downlink Interference for Femtocell in the Future 5G Networks

机译：加载可感知的绿色电源控制（LAGPC），以减轻未来5G网络中Femtocell的Co-Tier下行链路干扰

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摘要

LTE femtocell network categorized as one of small cell technologies will play an important role in future 5G networks due to the fact that it not only can expand the coverage of wireless communication systems but also can increase frequency reuse. With the growth of Internet of Thing (IoT), the data volume will increase explosively in the future. Hence the need to deploy femtocell is stringent. However, the growing deployments of femtocell base stations (FBSs) have brought a serious issue of inter-FBS interference (also referred to as co-tier interference) due to their easy and convenient installations. In this article, we propose a systematic approach to reduce FBS co-tier downlink interference under the scenario that FBSs are densely deployed in an environment. Power control for an FBS is performed when the number of warning messages issued from other femtocell User Equipment (FUE) is greater than a threshold for a typical distributed power control scheme. However, it will also reduce the Signal to Interference and Noise Ratio (SINR) of the FUEs connected to the FBS as well. Therefore, it will reduce the total capacity. In our proposed Loading Aware Green Power Control (LAGPC) scheme, an FBS performs power control only when the number of FUEs connected to other FBSs interfered by the FBS is greater than the number of FUEs served by this FBS. In order to solve the cell edge or cell border effect, a directional antenna assisted is proposed. Our proposed scheme has been validated through simulations that it could effectively reduce co-tier downlink interference in shared-spectrum femtocell environments, thereby boosting system performance by 32.4 and 45.9% under the scenarios with 300 FUEs and 400 FUEs to be served respectively on average. In order to solve the border effect, i.e. the FUE resides on the border of two FBSs, beamforming (BF) and Near-Far effect are proposed. Our rough studies show that BF can boost the performance of any proposed scheme by 120% at least at cost of higher device cost as well as lager header overheads in PHY layer.
机译：被归类为小型小区技术之一的LTE毫微微小区网络将在未来的5G网络中扮演重要角色，因为它不仅可以扩大无线通信系统的覆盖范围，而且可以增加频率复用率。随着物联网（IoT）的增长，未来的数据量将爆炸性增长。因此，部署毫微微小区的需求非常严格。但是，由于毫微微小区基站（FBS）的易于安装，它们的部署日趋严重，带来了FBS间干扰（也称为共层干扰）的严重问题。在本文中，我们提出了一种在FBS密集部署在环境中的情况下减少FBS共层下行链路干扰的系统方法。当从其他毫微微小区用户设备（FUE）发出的警告消息的数量大于典型分布式功率控制方案的阈值时，将执行FBS的功率控制。但是，这也会降低连接到FBS的FUE的信号干扰和噪声比（SINR）。因此，它将减少总容量。在我们提出的“加载感知绿色功率控制”（LAGPC）方案中，仅当与其他FBS连接的FUE受FBS干扰的FUE数量大于该FBS服务的FUE数量时，FBS才执行功率控制。为了解决小区边缘或小区边界效应，提出了定向天线辅助。通过仿真验证了我们提出的方案，该方案可以有效减少共享频谱毫微微小区环境中的共层下行链路干扰，从而在平均分别服务300个FUE和400个FUE的情况下，将系统性能提高32.4％和45.9％。为了解决边界效应，即，FUE位于两个FBS的边界上，提出了波束成形（BF）和近远效应。我们的粗略研究表明，BF至少可以以更高的设备成本以及PHY层中较大的报头开销为代价，将任何建议方案的性能提高120％。

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