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A Hybrid-Distributed Base Station Wake-up Algorithm in Dense Heterogeneous Cellular Networks

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 12))

Abstract

Sleep mode techniques for small base stations bring benefits to improving the energy efficiency of Dense Heterogeneous Cellular Network. However, in the traditional sleep mode algorithms, it’s hard to wake up sleeping base station accurately. In this paper, we proposed a Hybrid-Distributed base station Wake-up Algorithm (HDWA), which wakes up sleeping base station using macro-assisted and adjacent-assisted methods based on Cluster Technology. In the face of complex changes in the network environment, the proposed algorithm save system energy while ensuring users’ Quality of Service. The simulation results show that HDWA can improve the energy efficiency effectively while maintaining the average throughput compared with the baseline algorithms.

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Acknowledgments

The research work reported in this paper is supported by National Science and Technology Major Project (No.2015ZX03001025-2).

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Correspondence to Li Da .

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Da, L., Wen’an, Z., Jianlong, L., Bingqian, L. (2018). A Hybrid-Distributed Base Station Wake-up Algorithm in Dense Heterogeneous Cellular Networks. In: Barolli, L., Xhafa, F., Conesa, J. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-69811-3_32

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  • DOI: https://doi.org/10.1007/978-3-319-69811-3_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69810-6

  • Online ISBN: 978-3-319-69811-3

  • eBook Packages: EngineeringEngineering (R0)

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