Autors: Asenov, O., Koleva, P. H., Poulkov, V. K.
Title: Heuristic approach to dynamic Uplink Power Control in LTE
Keywords: Heuristic Algorithms; Inter-Cell Interference; Long Term Evolution; Uplink Power Control

Abstract: In this paper an approach for Uplink Power Control for Long Term Evolution is proposed. The developed method is based on a heuristic algorithm for the division of the users in mobile cell into sets with different uplink power settings. By applying such an approach, a dynamic power control mechanism could be implemented depending on the distribution, location and the required throughput of the User Equipments in the cell with minimum Inter-Cell Interference. The results from the simulation experiments show that such approach could be an effective solution for dynamic Uplink Power Control.



    in Proceedings of International Conference on Telecommunications and Signal Processing (TSP), 2-4 July 2013, pp. 235-238, 2013, Italy, DOI 10.1109/TSP.2013.6613927

    Copyright IEEE

    Цитирания (Citation/s):
    1. Ahmad, A.W., Yang, H., Shahzad, G., Lee, C., "Macrocells-User Protected Interference-Aware Transmit Power Control for LTE-A Heterogeneous Networks", Mobile Information Systems, vol. 2016, 2016, DOI: 10.1155/2016/7043235. - 2016 - в издания, индексирани в Scopus или Web of Science
    2. Jia, R., Liu, L., Zheng, X., Yang, Y., Wang, S., Huang, P., Lv, T., "Multi-Agent Deep Reinforcement Learning for Uplink Power Control in Multi-Cell Systems", 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022, pp. 324-330, 2022, DOI: 10.1109/ICCWorkshops53468.2022.9814468. - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science