@inproceedings{1cc4e68126c6430c955e678cbddc646a,
title = "Modular IPM strategy for energy conservation in densely deployed networks",
abstract = "We consider a 5G small cell model where the cells are deployed in a way to cover users in the neighbor cells in order to introduce cell active-sleep control, so-called inter-cell power management (IPM). Using a Markov decision process (MDP), one can obtain an optimal policy for IPM, but with limited scalability. This paper proposes a modular IPM strategy which is a suboptimal policy to group only a few neighbor cells. The modular IPM strategy can mitigate the computational complexity of MDP while it achieves a near-optimal solution to save the energy usage in small cells. It is verified to be a feasible solution through the memory usage estimation and simulation study. The modular IPM strategy with fine-step quantized states can save even more power than the non-modular strategy with coarse-step quantized states. Consequently, the proposed modular IPM strategy becomes much favored in the base station management for power saving in a large small-cell cluster.",
author = "Kyounghye Kim and Song, \{Nah Oak\} and Junhyuk Kim and Rhee, \{June Koo Kevin\} and Kong, \{Peng Yong\}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Communication Workshop, ICCW 2015 ; Conference date: 08-06-2015 Through 12-06-2015",
year = "2015",
month = sep,
day = "8",
doi = "10.1109/ICCW.2015.7247174",
language = "British English",
series = "2015 IEEE International Conference on Communication Workshop, ICCW 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "173--178",
booktitle = "2015 IEEE International Conference on Communication Workshop, ICCW 2015",
address = "United States",
}