Abstract
The dramatic increase in traffic observed in the recent years in mobile networks is not expected to slow down. Increasing the number of deployed base stations of different range and capabilities creating ultra dense networks is one of the solutions that will be adapted in order to cover the demand. Energy efficiency schemes are needed in order to keep the energy impact of such an approach limited. In this paper we focus on densely deployed femtocells (clusters) evaluating the power savings resulted from a power controlled sleep mode mechanism. The mechanism tries to reduce the number of operating closed access femtocells, by providing performance incentives to the clusters subscribers to coordinate reducing energy consumption without compromising their throughput. Simulations investigate the different levels of power savings depending on the chosen configuration and the deployment density.
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References
Bouras, C., Diles, G.: Distributed sleep mode power control in 5G ultra dense networks. In: 15th IFIP International Conference on Wired/Wireless Internet Communications (WWIC), pp. 65–76 (2017)
Mugume, E., So, D.K.C.: Sleep mode mechanisms in dense small cell networks. In: 2015 IEEE International Conference on Communications (ICC), pp. 192–197, June 2015
Claussen, H.: Performance of macro- and co-channel femtocells in a hierarchical cell structure. In: IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2007, p. 15, September 2007
Claussen, H., Ashraf, I., Ho, L.T.W.: Dynamic idle mode procedures for femtocells. Bell Labs Tech. J. 15(2), 95–116 (2010)
Lei, H., Zhang, L., Zhang, X., Yang, D.: A novel multi-cell OFDMA system structure using fractional frequency reuse. In: IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2007, p. 15 (2007)
Vu, H.N., Le, L.B.: Hybrid access design for femtocell networks with dynamic user association and power control. In: 2012 IEEE Vehicular Technology Conference (VTC Fall), pp. 1–5 (2012)
Ashraf, I., Boccardi, F., Ho, L.: Sleep mode techniques for small cell deployments. IEEE Commun. Mag. 49(8), 72–79 (2011)
Okino, K., Nakayama, T., Yamazaki, C., Sato, H., Kusano, Y.: Pico cell range expansion with interference mitigation toward lte-advanced heterogeneous networks. In: 2011 IEEE International Conference on Communications Workshops (ICC), pp. 1–5, June 2011
Cho, K.T., Ryu, B.H.: Partitioning resource priority regions for hybrid access mode femtocells. In: 2012 IEEE 23rd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), pp. 625–630 (2012)
Simsek, M., Akbudak, T., Zhao, B., Czylwik, A.: An LTE-femtocell dynamic system level simulator. In: 2010 International ITG Workshop on Smart Antennas (WSA), pp. 66–71, February 2010
Lee, P., Lee, T., Jeong, J., Shin, J.: Interference management in LTE femtocell systems using fractional frequency reuse. In: 12th International Conference on Advanced Communication Technology (ICACT 2010), vol. 2, pp. 1047–1051 (2010)
Ali, S., Ismail, M., Nordin, R.: Femtocell sleep mode activation based interference mitigation in twotier networks. Procedia Technol. 11, 1088–1095 (2013). 4th International Conference on Electrical Engineering and Informatics, fICEEIg 2013
Samarakoon, S., Bennis, M., Saad, W., Latva-Aho, M.: Dynamic clustering and sleep mode strategies for small cell networks. In: 2014 11th International Symposium on Wireless Communications Systems (ISWCS), pp. 934–938, August 2014
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Bouras, C., Diles, G., Moulias, T. (2018). Energy Savings in Power Control for 5G Dense Femtocells. 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_27
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DOI: https://doi.org/10.1007/978-3-319-69811-3_27
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