Ben Rached, N, Ghazzai, H, Kadri, A et al. (1 more author) (2018) A Time-Varied Probabilistic ON/OFF Switching Algorithm for Cellular Networks. IEEE Communications Letters, 22 (3). pp. 634-637. ISSN 1089-7798
Abstract
In this letter, we develop a time-varied probabilistic on/off switching planning method for cellular networks to reduce their energy consumption. It consists in a risk-aware optimization approach that takes into consideration the randomness of the user profile associated with each base station (BS). The proposed approach jointly determines 1) the instants of time at which the current active BS configuration must be updated due to an increase or decrease of the network traffic load and 2) the set of minimum BSs to be activated to serve the networks’ subscribers. Probabilistic metrics modeling the traffic profile variation are developed to trigger this dynamic on/off switching operation. Selected simulation results are then performed to validate the proposed algorithm for different system parameters.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Base station on/off switching; cellular networks; risk level; time-varied probabilistic approach |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Nov 2023 15:49 |
Last Modified: | 27 Nov 2023 15:49 |
Published Version: | http://dx.doi.org/10.1109/lcomm.2018.2792001 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Identification Number: | 10.1109/lcomm.2018.2792001 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:195469 |