NDLI: Clustering based power saving algorithm for self-organized sleep mode in femtocell networks

Content Provider	IEEE Xplore Digital Library
Author	Wei Li Wei Zheng Yuanbao Xie Xiangming Wen
Copyright Year	2012
Description	Author affiliation: Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China (Wei Li; Wei Zheng; Yuanbao Xie; Xiangming Wen)
Abstract	A large-scale deployment of femtocell BSs (FBSs) causes the substantial energy consumption. One fairly intuitive way to minimize the energy consumption is to switch off the wireless air interface, or to keep FBSs in the energy saving mode for the most time while preserving the quality of service (QoS) experienced by users. Utilizing this concept, this paper proposes a clustering based power saving algorithm (CPSA) for self-organized sleep mode in femtocell networks. Firstly, CPSA builds a leader-member cluster framework, in which each FBS is either a FBS leader (FL) or a FBS member (FM). Then, the FL acts as an autonomous entity and is responsible for detecting active calls in the cluster coverage, while the FMs without the active user can entirely shut down pilot transmissions and the related processing all the time. So it is suited for self-organizing networks (SONs). With the practical LTE system parameters, simulation results show that the proposed algorithm outperforms three prominent related schemes in terms of average energy consumption and accumulative interference time. Furthermore, the results provide some guidelines for deploying energy efficient femtocell networks.
Starting Page	379
Ending Page	383
File Size	547591
Page Count	5
File Format	PDF
ISBN	9781467345330
ISSN	18825621
e-ISBN	9789860334074
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-24
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	NiCT
Subject Keyword	Macrocell networks Energy consumption Femtocell networks Frequency modulation Clustering algorithms Switches Interference
Content Type	Text
Resource Type	Article

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