Abstract
This paper presents an energy efficient aware continuous cell zooming algorithm based on green random cellular heterogeneous networks (HetNet). Firstly, we derive a two-tier Poisson Voronoi Tessellation (PVT) random heterogeneous network model in which the macro base stations (MBS), small-cells base stations (SBS), macro users (MU) and small-cell users (SU) locations are drawn randomly from independent homogeneous Poisson point processes (HPPPs). Secondly, by updating the SUs’ locations in SBSs periodically, the radius of the cells can be adjusted adaptively to achieve cell zooming. The performance of this work is examined under different user densities and ratios compared with reference algorithm. Numerical evaluations show that our proposed algorithm can significantly decrease system energy consumption and improve energy efficient.
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References
Chin, W.H., Fan, Z., Haines, R.: Emerging technologies and research challenges for 5G wireless networks. IEEE Wirel. Commun. 21(2), 106–112 (2014)
Auer, G., et al.: How much energy is needed to run a wireless network? IEEE Wirel. Commun. 18(5), 40–49 (2011)
Andrews, J.G., et al.: What will 5G be? IEEE J. Sel. Areas Commun. 32(6), 1065–1082 (2014)
Niu, Z., Wu, Y., Gong, J., Yang, Z.: Cell zooming for cost-efficient green cellular networks. IEEE Commun. Mag. 48(11), 74–79 (2010)
Prithiviraj, V., Venkatraman, S.B., Vijayasarathi, R.: Cell zooming for energy efficient wireless cellular network. J. Green Eng. 3, 421–434 (2013)
Tun, K.C., Kunavut, K.: An overview of cell zooming algorithms and power saving capabilities in wireless networks. KMUTNB Int. J. Appl. Sci. Technol. 7(3), 1–13 (2014)
Tun, K.C., Kunavut, K.: Performance evaluation of dynamic cell zooming algorithms in omni-directional and sector-based cells. In: 2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE), Chon Buri, pp. 158–163 (2014)
Balasubramaniam, R., Nagaraj, S., Sarkar, M., Paolini, C., Khaitan, P.: Cell zooming for power efficient base station operation. In: 2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC), Sardinia, pp. 556–560 (2013)
Tun, K.C., Kunavut, K.: Adaptive location update schemes for continuous cell zooming algorithm in wireless networks. In: 2015 7th International Conference on Knowledge and Smart Technology (KST), Chonburi, pp. 155–160 (2015)
ElSawy, H., Hossain, E., Haenggi, M.: Stochastic geometry for modeling, analysis, and design of multi-tier and cognitive cellular wireless networks: a survey. IEEE Commun. Surv. Tutor. 15(3), 996–1019 (2013)
Andrews, J.G., Baccelli, F., Ganti, R.K.: A tractable approach to coverage and rate in cellular networks. IEEE Trans. Commun. 59(11), 3122–3134 (2011)
Ge, X., Yang, B., Ye, J., Mao, G., Wang, C.X., Han, T.: Spatial spectrum and energy efficiency of random cellular networks. IEEE Trans. Commun. 63(3), 1019–1030 (2015)
Fehske, A.J., et al.: Energy efficiency improvements through micro sites in cellular mobile radio networks. In: 2009 IEEE Globecom Workshops, Honolulu, HI, pp. 1–5 (2009)
Acknowledgments
The work was supported by grants from the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (15KJB510027), the 19th Batch of College Students Extracurricular Academic Research Fund Project of Soochow University (KY2017734B, KY2017727B), and the Foundation Research Project of Jiangsu Province (BK20140359, BK20170346).
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Sheng, J., You, Y., Ma, D., Zhu, C., Xu, F. (2018). Continuous Cell Zooming Algorithm Towards Energy Efficient in Random Heterogeneous Cellular Networks. In: Li, B., Shu, L., Zeng, D. (eds) Communications and Networking. ChinaCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 236. Springer, Cham. https://doi.org/10.1007/978-3-319-78130-3_52
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DOI: https://doi.org/10.1007/978-3-319-78130-3_52
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