Title :
Adaptive power management for wireless base stations in a smart grid environment
Author :
Niyato, Dusit ; Lu, Xiao ; Wang, Ping
fDate :
12/1/2012 12:00:00 AM
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.
Keywords :
cost reduction; environmental factors; radiocommunication; smart power grids; adaptive power management; demand-side power management solutions; electrical grid; electrical power consumption reduction; energy saving; environmental protection; global environmental change; green communication system model; green wireless communications; power consumption cost minimization; power price; renewable power generation; renewable power source; smart grid environment; wireless base stations; wireless industry; wireless traffic load; Air pollution; Base stations; Green products; Power demand; Power system management; Smart grids; Stochastic processes;
Journal_Title :
Wireless Communications, IEEE
DOI :
10.1109/MWC.2012.6393517