利用基于系统吞吐量的睡眠控制方案提高5G异构蜂窝网络的能效

Arif Dataesatu, Pornpawit Boonsrimuang, K. Mori, P. Boonsrimuang
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引用次数: 8

摘要

目前,高效提供基础设施的蜂窝架构设计是5G密集异构蜂窝网络(HetNets)面临的关键挑战之一。通过在宏基站(MBS)中增加许多小型基站(SBSs)是支持快速增长的移动数据通信、高数据速率业务和提供连续覆盖的一种方式。大量的网元导致功耗显著增加。为了解决这个问题,引入了SBS开/关算法来降低功耗,但也降低了我们称之为传统方案的能源效率。本文提出了基于系统吞吐量(MBS小区吞吐量和SBS小区吞吐量)的SBS切换到睡眠状态算法,并以此作为SBS是否处于睡眠状态的判定标准。仿真结果表明,与传统方案相比,该方案能有效降低网络总功耗,提高能效。
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Energy Efficiency Enhancement in 5G Heterogeneous Cellular Networks Using System Throughput Based Sleep Control Scheme
Currently, Cellular architectures are designed with an efficient providing infrastructure is one of the critical challenges in 5G dense heterogeneous cellular networks (HetNets). By adding many small base stations (SBSs) in a macro base station (MBS) is one way to support the rapid growth of mobile data communication, high data rate services and to provide continuous coverage. The high number of network elements leads to a significant increase in power consumption. To solve the problem, the SBS on/off algorithm has been introduced to reduce power consumption but also reduced energy efficiency as we called the conventional schemes. This paper we proposed as the SBS switching to sleep state algorithm based on the system throughput (MBS cell throughput and SBS cell throughput) is used the decision criteria for SBS to be in the sleep state. The simulation results, The proposed scheme can reduce the total power consumption of the network and enhance energy efficiency more than the conventional schemes.
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