Maximization of the User Association of a Low-Power Tier Deploying Biased User Association Scheme in 5G Multi-Tier Heterogeneous Network

Mobasshir Mahbub, Abdullah G. Alharbi, B. Barua
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Abstract

In evolving 5G multi-tier networks, traditional user association schemes, e.g., received power-based user association, become inefficient to ensure better coverage. As it has high transmission power, it will overload the high-power tier such as macrocell. Therefore, a convenient cell-range extension scheme known as biased user association is introduced in which low-power base stations of a multi-tier network are designated with a bias power to expand the coverage artificially, and user equipment communicates with the highest power base station weighed by its bias power. In addition, this paper introduces a novel three-tier heterogeneous network, which consists of macro, pico, and femto cell tiers of base stations. This study, therefore, targeted maximizing the user association for a low-power tier of a multi-tier heterogeneous network utilizing a biased power user association scheme. In addition to the mathematical modeling and analysis of the proposed study, we provide MATLAB simulation results.
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5G多层异构网络中低功耗层用户关联最大化部署有偏用户关联方案
在不断发展的5G多层网络中,传统的用户关联方案(如基于接收功率的用户关联)在保证更好的覆盖方面变得低效。由于传输功率大,会使macrocell等大功率层过载。为此,提出了一种方便的小区范围扩展方案——偏置用户关联方案,该方案通过人为地为多层网络中的低功率基站指定偏置功率来扩大覆盖范围,用户设备与经偏置功率加权后功率最高的基站进行通信。此外,本文还介绍了一种新型的三层异构网络,该网络由基站的宏层、微层和飞层组成。因此,本研究的目标是利用有偏差的功率用户关联方案最大化多层异构网络中低功率层的用户关联。除了对所提出的研究进行数学建模和分析外,我们还提供了MATLAB仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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