Abstract
The issue about energy consumption of wireless network attracts more and more attention and becomes one of three energy efficiency features in 5G. The user associated base station switching on-off strategy can effectively reduce energy consumptions. The existing strategies mainly focus on Quality of Service for users, without fully considering the influence of user experience for specific applications and the problem of high time complexity of implementing the energy-saving strategy caused by the large scale of the 5G mobile network. This paper proposes Distributed Multiple-service User-experience Energy Saving Algorithm for base station (DMUES). Nonlinear integer programming is utilized to model the above problem, which achieves the tradeoff between user experience and energy consumption. By comparing with other relative energy saving strategy, the results show that DMUES achieves good performance on user experience and energy savings. Furthermore, the time complexity of energy saving strategy is reduced due to community partition.
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References
Budzisz, L., Ganji, F., Rizzo, G., Marsan, M.A.: Dynamic resource provisioning for energy efficiency in wireless access networks: a survey and an outlook. IEEE Commun. Surv. Tutor. 16(4), 2259–2285 (2014)
Ding, M., Wang, P., López-Pérez, D., Mao, G., Lin, Z.: Performance impact of LoS and NLoS transmissions in dense cellular networks. IEEE Trans. Wirel. Commun. 15(3), 2365–2380 (2016)
Feng, M., Mao, S., Jiang, T.: Base station ON-OFF switching in 5G wireless networks: approaches and challenges. IEEE Wirel. Commun. 24(4), 46–54 (2017)
Fiedler, M., Hossfeld, T., Tran-Gia, P.: A generic quantitative relationship between quality of experience and quality of service. IEEE Press (2010)
Gómez, G., de Torres, E., Lorca, J., GarcÃa, R., Pérez, Q., Arias, E.: Assessment of multimedia services QoS/QoE over LTE networks. In: Obaidat, M.S., Filipe, J. (eds.) ICETE 2012. CCIS, vol. 455, pp. 257–272. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-44791-8_16
Han, T., Ansari, N.: Enabling mobile traffic offloading via energy spectrum trading. IEEE Trans. Wirel. Commun. 13(6), 3317–3328 (2014)
Hu, R.Q., Qian, Y.: Macro-Femto Heterogeneous Network Deployment and Management. Wiley, Hoboken (2013)
Jiang, H., et al.: Data-driven cell zooming for large-scale mobile networks. IEEE Trans. Netw. Serv. Manag. 15(1), 156–168 (2018)
Khan, M.A., Toseef, U.: User utility function as quality of experience (QoE). In: Proceedings of the ICN, vol. 11, pp. 99–104. Citeseer (2011)
Li, W., Zheng, W., Xie, Y., Wen, X.: Clustering based power saving algorithm for self-organized sleep mode in femtocell networks. In: International Symposium on Wireless Personal Multimedia Communications, pp. 379–383 (2012)
Liu, B., Zhao, M., Zhou, W., Zhu, J.: Flow-level-delay constraint small cell sleeping with macro base station cooperation for energy saving in hetnet. In: Vehicular Technology Conference, pp. 1–5 (2015)
Niu, Z., Wu, Y., Gong, J., Yang, Z.: Cell zooming for cost-efficient green cellular networks. IEEE Commun. Mag. 48(11), 74–79 (2010)
Oh, E., Son, K., Krishnamachari, B.: Dynamic base station switching-on/off strategies for green cellular networks. IEEE Trans. Wirel. Commun. 12(5), 2126–2136 (2013)
Quesada, I., Grossmann, I.E.: An LP/NLP based branch and bound algorithm for convex MINLP optimization problems. Comput. Chem. Eng. 16(10–11), 937–947 (1991)
Shaikh, J., Fiedler, M., Collange, D.: Quality of experience from user and network perspectives. Ann. Telecommun. - annales des télécommunications 65(1–2), 47–57 (2010)
Son, K., Kim, H., Yi, Y., Krishnamachari, B.: Base station operation and user association mechanisms for energy-delay tradeoffs in green cellular networks. IEEE J. Sel. Areas Commun. 29(8), 1525–1536 (2011)
Wu, J., Zhang, Y., Zukerman, M., Yung, K.N.: Energy-efficient base-stations sleep-mode techniques in green cellular networks: a survey. IEEE Commun. Surv. Tutor. 17(2), 803–826 (2015)
Zhao, T., Liu, Q., Chen, C.W.: Qoe in video transmission: a user experience-driven strategy. IEEE Commun. Surv. Tutor. 19(1), 285–302 (2017)
Zhu, Y., Kang, T., Zhang, T., Zeng, Z.: QoS-aware user association based on cell zooming for energy efficiency in cellular networks. In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 6–10 (2014)
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zeng, Y., Zhang, Y., Jiang, H., Zhou, X. (2019). Distributed Multiple-Service User-Experience Energy Saving Algorithm for Base Station. In: Leung, V., Zhang, H., Hu, X., Liu, Q., Liu, Z. (eds) 5G for Future Wireless Networks. 5GWN 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 278. Springer, Cham. https://doi.org/10.1007/978-3-030-17513-9_6
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DOI: https://doi.org/10.1007/978-3-030-17513-9_6
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