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Adaptive energy-efficient small cell sleeping and zooming in heterogeneous cellular networks

Author

Listed:
  • Sama Habibi

    (Urmia University of Technology)

  • Vahid Solouk

    (Urmia University of Technology)

  • Hashem Kalbkhani

    (Urmia University of Technology)

Abstract

With the rapid growth of the number of cellular network users and their tendency to share various multimedia files, providing better coverage for users and guaranteeing the quality of service (QoS) to serve them by base stations (BSs) are essential. On the other side, with the increase in the number of users and BSs, the power consumption augments in the cellular network. Heterogeneous network (HetNet), which consists of a large number of small cells deployed in the coverage of macrocell, can increase the network capacity. To fulfill the users’ demands and meanwhile reduce the power consumption, we present three energy-efficient adaptive sleeping, zooming, and zooming + sleeping schemes for ultra-dense HetNets to increase the minimum energy efficiency (EE) of small cell BSs (SBSs). In the proposed sleeping technique, the SBS with the minimum EE switches to sleep mode until the minimum EE is improved. The proposed zooming technique performs the user association and power control to maximize the EE of each SBS as well as utilize the lowest possible number of SBSs. Finally, SBSs with the minimum EE switches to sleep mode after applying the zooming technique. The proposed joint zooming and sleeping method reduces the total power consumption and SBS utilization ratio about 100% and 25%, respectively, compared to the static user association scheme, in which the users connect to the nearest SBS. Also, it enhances the SE and EE of static user association about 1.5 and 1.4, respectively, which indicate its efficiency.

Suggested Citation

  • Sama Habibi & Vahid Solouk & Hashem Kalbkhani, 2021. "Adaptive energy-efficient small cell sleeping and zooming in heterogeneous cellular networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 77(1), pages 23-45, May.
    • Handle: RePEc:spr:telsys:v:77:y:2021:i:1:d:10.1007_s11235-020-00740-3
    DOI: 10.1007/s11235-020-00740-3
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    References listed on IDEAS

    as
    1. Mncedisi Bembe & Adnan Abu-Mahfouz & Moshe Masonta & Tembisa Ngqondi, 2019. "A survey on low-power wide area networks for IoT applications," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(2), pages 249-274, June.
    2. S. H. Alsamhi & Ou Ma & Mohd. Samar Ansari & Qingliang Meng, 2019. "Greening internet of things for greener and smarter cities: a survey and future prospects," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(4), pages 609-632, December.
    3. Hashem Kalbkhani & Mahrokh G. Shayesteh, 2018. "Power allocation and relay selection for network-coded D2D communication underlay heterogeneous cellular networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(4), pages 699-715, April.
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