Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/103849
Title: Decomposition of stochastic power management for wireless base station in smart grid
Authors: Kaewpuang, Rakpong
Niyato, Dusit
Wang, Ping
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: Kaewpuang, R., Niyato, D., Wang, P. (2012). Decomposition of stochastic power management for wireless base station in smart grid. IEEE wireless communications letters, 1(2), 97-100.
Series/Report no.: IEEE wireless communications letters
Abstract: We propose a stochastic power management (SPM) algorithm for a wireless base station to optimize the power consumption (i.e., minimizing the power cost while meeting wireless traffic demand). This SPM algorithm is developed for a smart grid environment which takes a renewable power source and time-varying power price into account. An optimization model is developed to obtain an optimal solution of the SPM algorithm. This optimization model considers various uncertainties including power price, renewable power, and wireless traffic load. Benders decomposition method is applied to reduce the execution time of obtaining the optimal solution for the SPM algorithm.
URI: https://hdl.handle.net/10356/103849
http://hdl.handle.net/10220/16546
ISSN: 2162-2337
DOI: http://dx.doi.org/10.1109/WCL.2012.020612.110197
Rights: © 2012 IEEE
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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