Zhang, Xinruo and Nakhai, Mohammad Reza and Wan Ariffin, Wan Nur Suryani Firuz (2017) 'A Bandit Approach to Price-Aware Energy Management in Cellular Networks.' IEEE Communications Letters, 21 (7). pp. 1609-1612. ISSN 1089-7798
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Abstract
We introduce a reinforcement learning algorithm inspired by the combinatorial multi-armed bandit problem to minimize the time-averaged energy cost at individual base stations (BSs), powered by various energy markets and local renewable energy sources, over a finite-time horizon. The algorithm sustains traffic demands by enabling sparse beamforming to schedule dynamic user-to-BS allocation and proactive energy provisioning at BSs to make ahead-of-time price-aware energy management decisions. Simulation results indicate a superior performance of the proposed algorithm in reducing the overall energy cost, as compared with recently proposed cooperative energy management designs.
| Item Type: | Article |
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| Uncontrolled Keywords: | Energy management; CMAB; online learning |
| 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 16:05 |
| Last Modified: | 15 Jan 2022 01:31 |
| URI: | http://repository.essex.ac.uk/id/eprint/26369 |
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