An Overview of Cell Zooming Algorithms and Power Saving Capabilities in Wireless Networks

Khin Cho Tun, K. Kunavut
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引用次数: 17

Abstract

Cell zooming has emerged as a potential strategy to develop a green communication system in our society and it has become an essential research area of wireless communication. Aiming to highlight the trend of existing cell zooming algorithms and their power saving capabilities, this paper reviews a number of cell zooming algorithms that have been proposed in the literature. Static cell zooming algorithms are effective for off-peak hours and their maximum power saving capability is 50% since off-peak duration is typically not more than 12 hours.Meanwhile dynamic cell zooming algorithms are applicable in full-day operation and they are useful not only for power saving but also for load balancing. However, on/off switching delay, signalling overhead due to traffic information exchange and how to attain information of traffic spatial distribution are existing challenges in dynamic cell zooming algorithms. One noticeable point is that relative power saving in dynamic cell zooming algorithm is less than 50% if traffic spatial distribution is considered. Since location management (LM) was designed for effectively servicing to customers, further researches could lead to work on location management (LM) based cell zooming algorithms for both effective servicing and energy saving.
无线网络中的小区缩放算法和节能能力概述
小区变焦已成为当今社会发展绿色通信系统的一种潜在策略,成为无线通信的一个重要研究领域。为了突出现有细胞缩放算法的发展趋势及其节能能力,本文综述了文献中提出的一些细胞缩放算法。静态单元缩放算法在非高峰时段是有效的,由于非高峰时段的持续时间通常不超过12小时,因此其最大功率节省能力为50%。同时,动态单元缩放算法适用于全天运行,不仅可以节省电能,还可以实现负载均衡。然而,开/关切换延迟、交通信息交换引起的信令开销以及如何获取交通空间分布信息是动态小区缩放算法存在的挑战。值得注意的是,在考虑交通空间分布的情况下,动态小区缩放算法的相对节能小于50%。由于位置管理(LM)是为了有效地为客户服务而设计的,因此进一步的研究可以导致基于位置管理(LM)的单元缩放算法的工作,以实现有效的服务和节能。
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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