A Multi-objective Approach to Energy Efficiency in Cellular Networks
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42847-0_17
Reference12 articles.
1. Han, C., Harrold, T., Armour, S., Krikidis, I., Videv, S., Grant, P.M., Haas, H., Thompson, J.S., Ku, I., Wang, C.-X., et al.: Green radio: radio techniques to enable energy-efficient wireless networks. IEEE Commun. Mag. 49(6), 46–54 (2011)
2. Dahmani, S., Gabli, M., Mermri, E.B., Serghini, A.: Optimization of green RNP problem for LTE networks using possibility theory. Neural Comput. Appl. 32(8), 3825–3838 (2020)
3. Mohammed, G., Soufiane, D., El Bekkaye, M., Abdelhafid, S.: Optimization of multi-objective and green LTE RNP problem. In: 2019 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS), pp. 1–6. IEEE (2019)
4. Gabli, M., Dahmani, S., Mermri, E.B., Serghini, A.: A dynamic genetic algorithm approach to the problem of UMTS network assignment. In: International Conference on Networked Systems, pp. 15–26. Springer (2017)
5. Saxena, N., Sahu, B.J., Han, Y.S.: Traffic-aware energy optimization in green LTE cellular systems. IEEE Commun. Lett. 18(1), 38–41 (2013)
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