Adaptive power management for wireless base stations in a smart grid environment
The growing concerns of a global environmental change leads to a revolution in the way energy is utilized. In the wireless industry, green wireless communications has recently gained increasing attention and is expected to play a major role in the reduction of electrical power consumption. Actions t...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/103890 http://hdl.handle.net/10220/16548 |
| _version_ | 1811694038727786496 |
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| author | Niyato, Dusit Lu, Xiao Wang, Ping |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Niyato, Dusit Lu, Xiao Wang, Ping |
| author_sort | Niyato, Dusit |
| collection | NTU |
| description | The growing concerns of a global environmental change leads to a revolution in the way energy is utilized. In the wireless industry, green wireless communications has recently gained increasing attention and is expected to play a major role in the reduction of electrical power consumption. Actions to promote energy saving of wireless communications with regard to environmental protection are becoming imperative. To this purpose, we study a green communications system model where a wireless base station is provisioned with a combination of a renewable power source and the electrical grid to minimize the cost of power consumption as well as meet the users' demand. More specifically, we focus on adaptive power management for a wireless base station under various uncertainties, including renewable power generation, power price, and wireless traffic load. We believe that demand-side power management solutions based on the studied communication architecture is a major step toward green wireless communications. |
| first_indexed | 2024-10-01T07:01:13Z |
| format | Journal Article |
| id | ntu-10356/103890 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:01:13Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/1038902020-05-28T07:17:16Z Adaptive power management for wireless base stations in a smart grid environment Niyato, Dusit Lu, Xiao Wang, Ping School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer systems organization The growing concerns of a global environmental change leads to a revolution in the way energy is utilized. In the wireless industry, green wireless communications has recently gained increasing attention and is expected to play a major role in the reduction of electrical power consumption. Actions to promote energy saving of wireless communications with regard to environmental protection are becoming imperative. To this purpose, we study a green communications system model where a wireless base station is provisioned with a combination of a renewable power source and the electrical grid to minimize the cost of power consumption as well as meet the users' demand. More specifically, we focus on adaptive power management for a wireless base station under various uncertainties, including renewable power generation, power price, and wireless traffic load. We believe that demand-side power management solutions based on the studied communication architecture is a major step toward green wireless communications. Accepted version 2013-10-17T04:04:55Z 2019-12-06T21:22:25Z 2013-10-17T04:04:55Z 2019-12-06T21:22:25Z 2012 2012 Journal Article Niyato, D., Lu, X., & Wang, P. (2012). Adaptive power management for wireless base stations in a smart grid environment. IEEE wireless communications, 19(6), 44-51. 1536-1284 https://hdl.handle.net/10356/103890 http://hdl.handle.net/10220/16548 10.1109/MWC.2012.6393517 en IEEE wireless communications © 2012 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. The published version is available at: [http://dx.doi.org/10.1109/MWC.2012.6393517]. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computer systems organization Niyato, Dusit Lu, Xiao Wang, Ping Adaptive power management for wireless base stations in a smart grid environment |
| title | Adaptive power management for wireless base stations in a smart grid environment |
| title_full | Adaptive power management for wireless base stations in a smart grid environment |
| title_fullStr | Adaptive power management for wireless base stations in a smart grid environment |
| title_full_unstemmed | Adaptive power management for wireless base stations in a smart grid environment |
| title_short | Adaptive power management for wireless base stations in a smart grid environment |
| title_sort | adaptive power management for wireless base stations in a smart grid environment |
| topic | DRNTU::Engineering::Computer science and engineering::Computer systems organization |
| url | https://hdl.handle.net/10356/103890 http://hdl.handle.net/10220/16548 |
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