Toward 5G: A Novel Sleeping Strategy for Green Distributed Base Stations in Small Cell Networks

Yiwei Xu, Jin Chen, Ducheng Wu, Wanru Xu
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引用次数: 10

Abstract

Confronted with the rapidly increasing demand of mobile traffic and heavy energy consumption on base stations (BSs), the base station (BS) sleeping strategy becomes a promising method to promote the system energy efficiency (EE). To switch off the redundant small-cell base stations (s-BSs) without whittling down the network EE in small cell networks, we propose a novel environment-friendly distributed BS sleeping strategy, which consists of two parts, matching and connecting between the s-BSs and the user equipments (UEs), and activating the BS-turning-off procedure for the further promotion of EE. An initializing matching connection algorithm (IMCA) is proposed for the first subproblem and the energy efficiency ratio (EER) obtained by this proposed IMCA surpasses the EE gained from traditional initializing random connection method. Moreover, a turn-off if possible algorithm (TIPA) is proposed as the sleeping strategy to handle the BS-turning-off procedure. Both the EE and the convergence speed obtained by the sleeping deployment using TIPA surpass those of the traditional best response algorithm.
迈向5G:小型蜂窝网络中绿色分布式基站的新型休眠策略
面对快速增长的移动通信需求和巨大的基站能耗,基站休眠策略成为一种很有前途的提高系统能效的方法。为了在不降低网络EE的前提下关闭冗余的小蜂窝基站(s-BSs),本文提出了一种新型的环境友好型分布式基站休眠策略,该策略包括两个部分:s-BSs与用户设备(ue)之间的匹配和连接,以及激活BS关闭程序以进一步提高EE。针对第一个子问题,提出了一种初始化匹配连接算法(IMCA),该算法获得的能量效率比(EER)优于传统的初始化随机连接方法获得的能量效率比。此外,提出了一种尽可能关闭算法(TIPA)作为睡眠策略来处理bs关闭过程。利用TIPA进行休眠部署得到的EE和收敛速度均优于传统的最佳响应算法。
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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