Stochastic online control for energy-harvesting wireless networks with battery imperfections
Tianhui Ma, Rongsheng Zhang, Xin Wang, Xiaolin Zhou
Abstract
In energy harvesting (EH) network, the energy storage devices (i.e., batteries) are usually not perfect. In this paper, we consider a practical battery model with finite battery capacity, energy (dis-)charging loss, and energy dissipation. Taking into account such battery imperfections, we rely on the Lyapunov optimization technique to develop a stochastic online control scheme that aims to maximize the utility of data rates for EH multi-hop wireless networks. It is established that the proposed algorithm can provide a feasible and efficient data admission, power allocation, routing and scheduling solution, without requiring any statistical knowledge of the stochastic channel, data-traffic, and EH processes.
BibTeX
@inproceedings{icassp2017_stochasticonline,
title = {Stochastic online control for energy-harvesting wireless networks with battery imperfections},
author = {Tianhui Ma and Rongsheng Zhang and Xin Wang and Xiaolin Zhou},
booktitle = {ICASSP 2017},
year = {2017}
}