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During the last two decades we have witnessed a rapid growth in wireless communication services, which has dramatically increased the number of necessary radio access components to provide the adequate capacity and acceptable quality of service. The power cost for operating this huge number of radio Base Stations (BSs) is under serious consideration by the mobile communication industry and recent research efforts have focused on energy efficient design and optimization of the radio access network in order to alleviate the energy consumption and mobile network operators OPEX. In this work, we consider a deployment of heterogeneous BSs to serve a given geographical area and propose two energy-aware algorithms to optimally determine the operational mode of those BSs under various traffic load conditions. Performance evaluation results show that the proposed algorithms can provide near optimal solutions and achieve substantial network energy consumption reduction without compromising the efficient operation of the mobile network. We further benefit from the outcome of this formulation framework and propose BS activation schemes that yield proper BS activation profiles for continuous-time operation in the same network deployment. Various traffic loads are investigated in several simulation campaigns and our proposed schemes yield quite satisfactory energy saving gains compared to fully operational topology networks in all scenarios of interest examined.
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Fehske, A., Fettweis, G., Malmodin, J., & Biczok, G. (2011). The global footprint of mobile communications: The ecological and economic perspective. IEEE Communications Magazine, 49(8), 55–62. CrossRef
Chen, T., Zhang, H., Zhao, Z., & Chen, X. (2010). Towards green wireless access networks. In 2010 5th international ICST conference on communications and networking in China (CHINACOM), pp. 1–6, 25–27 August 2010.
Niu, Z. (2011). TANGO: Traffic-aware network planning and green operation. IEEE Wireless Communications, 18(5), 25–29. CrossRef
Alcatel-Lucent and Vodafone Chair on Mobile Communication Systems. (2009). Study on energy efficient radio access network (EERAN) technologies. Unpublished Project Report, Technical University of Dresden, Dresden, Germany.
Auer, G., Giannini, V., Desset, C., Godor, I., Skillermark, P., Olsson, M., et al. (2011). How much energy is needed to run a wireless network? IEEE Wireless Communications, 18(5), 40–49. CrossRef
Komnakos, D., Rouskas, A., & Gotsis, A. (2013). Energy efficient base station placement and operation in mobile networks. In Proceedings of the 19th European wireless conference (EW 2013), Guildford, United Kingdom.
Komnakos, D., Rouskas, A., & Trigka, R. (2013). Mobile networks planning for minimum power consumption. In Wireless days (WD), 2013 IFIP, pp. 1–6, 13–15 November 2013.
Kyriazis, G., & Rouskas, A. (2014). Energy optimization schemes in heterogeneous wireless mobile networks. In 2014 IEEE 19th international workshop on computer aided modeling and design of communication links and networks (CAMAD), pp. 375–379, 1–3 December 2014. doi: 10.1109/CAMAD.2014.7033269.
Richter, F., Fehske, A. J., & Fettweis, G. P. (2009). Energy efficiency aspects of base station deployment strategies for cellular networks. In 2009 IEEE 70th vehicular technology conference fall (VTC 2009- Fall), pp. 1–5, 20–23 September 2009.
Koutitas, G., Karousos, A., & Tassiulas, L. (2012). Deployment strategies and energy efficiency of cellular networks. IEEE Transactions on Wireless Communications, 11(7), 2552–2563. CrossRef
Wu, Y., & Niu, Z. (2012). Energy efficient base station deployment in green cellular networks with traffic variations. In 2012 1st IEEE international conference on communications in China (ICCC), pp. 399–404, 15–17 August 2012.
Gonzalez-Brevis, P., Gondzio, J., Fan, Y., Poor, H. V., Thompson, J., Krikidis, I. et al. (2011). Base station location optimization for minimal energy consumption in wireless networks. In 2011 IEEE 73rd vehicular technology conference (VTC Spring), pp. 1–5, 15–18 May 2011.
Li, P., Guo, S., Yu, S., & Vasilakos, A. V. (2012). CodePipe: An opportunistic feeding and routing protocol for reliable multicast with pipelined network coding. In INFOCOM, 2012 proceedings IEEE, pp. 100–108, 25–30 March 2012. doi: 10.1109/INFCOM.2012.6195456.
Li, P., Guo, S., Yu, S., & Vasilakos, A. V. (2014). Reliable multicast with pipelined network coding using opportunistic feeding and routing. IEEE Transactions on Parallel and Distributed Systems, 25(12), 3264–3273. CrossRef
Wang, C.-Y., Ko, C.-H., Wei, H.-Y., & Vasilakos, A. V. A voting-based femtocell downlink cell-breathing control mechanism. IEEE/ACM Transactions on Networking, PP(99):1–1. doi: 10.1109/TNET.2014.2357498.
Oh, E., Son, K., & Krishnamachari, B. (2013). Dynamic base station switching-on/off strategies for green cellular networks. IEEE Transactions on Wireless Communications, 12(5), 2126–2136. CrossRef
Guha, S., Chau, C.-K., & Basu, P. (2010). Green wave: Latency and capacity-efficient sleep scheduling for wireless networks. In INFOCOM, 2010 proceedings IEEE, pp. 1–9, 14–19 March 2010.
Saker, L., Elayoubi, S.-E., Combes, R., & Chahed, T. (2012). Optimal control of wake up mechanisms of femtocells in heterogeneous networks. IEEE Journal on Selected Areas in Communications, 30(3), 664–672. CrossRef
Chatzipapas, A., Alouf, S., & Mancuso, V. (2011). On the minimization of power consumption in base stations using on/off power amplifiers. In Online conference on green communications (GreenCom), 2011 IEEE, pp. 18–23, 26–29 September 2011.
Samdanis, K., Kutscher, D., & Brunner, M. (2010). Dynamic energy-aware network re-configuration for cellular urban infrastructures. In GLOBECOM workshops (GC Wkshps), 2010 IEEE, pp. 1448–1452, 6–10 December 2010.
Yang, Y., Chen, L., & Wang, W. (2013). A novel energy saving scheme based on base stations dynamic configuration in green cellular networks. In 2013 IEEE 78th vehicular technology conference (VTC Fall), pp. 1–5, 2–5 September 2013.
Marsan, M. A., Chiaraviglio, L., Ciullo, D., & Meo, M. (2009). Optimal energy savings in cellular access networks. In IEEE international conference on communications workshops, 2009. ICC workshops 2009, pp. 1–5, 14–18 June 2009. doi: 10.1109/ICCW.2009.5208045.
De Domenico, A., Strinati, E. C., & Capone, A. (2014). Enabling Green cellular networks: A survey and outlook. Computer Communications, 37(1), 5–24. CrossRef
Wang, X., Vasilakos, A. V., Chen, M., Liu, Y., & Kwon, T. T. (2012). A survey of green mobile networks: Opportunities and challenges. Mobile Networks and Applications, 17, 4–20. CrossRef
Hentilä, L. et al. MATLAB implementation of the WINNER Phase II channel model ver1.1. http://www.ist-winner.org/phase2model.html.
EARTH Project. https://www.ict-earth.eu/.
- Design and operation of energy efficient heterogeneous mobile networks
- Springer US
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