Department of Electrical Power and Mechatronics, Tafila Technical University, Tafila 11183, Jordan.
Department of Electrical Engineering, Hashemite University, Zarqa 13133, Jordan.
Sensors (Basel). 2020 Mar 7;20(5):1467. doi: 10.3390/s20051467.
Heterogeneous networks are rapidly emerging as one of the key enablers of beyond fifth-generation (5G) wireless networks. It is gradually becoming clear to the network operators that existing cellular networks may not be able to support the traffic demands of the future. Thus, there is an upsurge in the interest of efficiently deploying small-cell networks for accommodating a growing number of user equipment (UEs). This work further extends the state-of-the-art by proposing an optimization framework for reducing the power consumption of small-cell base stations (BSs). Specifically, a novel algorithm has been proposed which dynamically switches off the redundant small-cell BSs based on the traffic demands of the network. Due to the dynamicity of the formulated problem, a new UE admission control policy has been presented when the problem becomes infeasible to solve. To validate the effectiveness of the proposed solution, the simulation results are compared with conventional techniques. It is shown that the proposed power control solution outperforms the conventional approaches both in terms of accommodating more UEs and reducing power consumption.
异构网络正迅速成为超越第五代（5G）无线网络的关键推动者之一。网络运营商逐渐认识到，现有的蜂窝网络可能无法支持未来的流量需求。因此，人们越来越有兴趣高效地部署小小区网络，以容纳越来越多的用户设备（UE）。这项工作通过提出一种用于降低小小区基站（BS）功耗的优化框架，进一步扩展了现有技术。具体来说，提出了一种新算法，根据网络的流量需求动态关闭冗余的小小区 BS。由于所制定问题的动态性，当问题变得无法解决时，提出了新的 UE 准入控制策略。为了验证所提出解决方案的有效性，将仿真结果与传统技术进行了比较。结果表明，所提出的功率控制解决方案在容纳更多 UE 和降低功耗方面均优于传统方法。
