Research Repository

Adaptive Energy Storage Management in Green Wireless Networks

Zhang, Xinruo and Nakhai, Mohammad Reza and Ariffin, Wan Nur Suryani Firuz Wan (2017) 'Adaptive Energy Storage Management in Green Wireless Networks.' IEEE Signal Processing Letters, 24 (7). pp. 1044-1048. ISSN 1070-9908

final_version.pdf - Accepted Version

Download (247kB) | Preview


Time-varying wireless channel as well as the variability of renewable energy supply and energy prices are practically unknown in advance. To address such dynamic statistics of wireless networks, this letter develops an adaptive strategy inspired by combinatorial multiarmed bandit model for energy storage management and cost-aware coordinated load control at the base stations. The proposed strategy makes online foresighted decisions on the amount of energy to be stored in storage to minimize the average energy cost over long-time horizon. Simulation results validate the superiority of the proposed strategy over a recently proposed storage-free learning-based design.

Item Type: Article
Uncontrolled Keywords: Online learning; storage management
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 20 May 2020 16:26
Last Modified: 15 Jan 2022 01:31

Actions (login required)

View Item View Item