Adaptive power management for wireless base stations in a smart grid environment
| dc.contributor.author | Dusit Niyato | |
| dc.contributor.author | Xiao Lu | |
| dc.contributor.author | Ping Wang | |
| dc.date.accessioned | 2025-07-21T05:53:25Z | |
| dc.date.issued | 2012-12-01 | |
| dc.description.abstract | 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. | |
| dc.identifier.doi | 10.1109/mwc.2012.6393517 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/3729 | |
| dc.subject | Provisioning | |
| dc.subject | Base transceiver station | |
| dc.subject | Municipal wireless network | |
| dc.subject.classification | Advanced MIMO Systems Optimization | |
| dc.title | Adaptive power management for wireless base stations in a smart grid environment | |
| dc.type | Article |