Title :
Traffic-Aware Energy Optimization in Green LTE Cellular Systems
Author :
Saxena, Navrati ; Sahu, Bharat J. R. ; Young Shin Han
Author_Institution :
Electr. & Comput. Eng. Dept., Sungkyunkwan Univ., Suwon, South Korea
Abstract :
Commercial deployment of 4G LTE networks and rapid penetration of smart phones have exponentially increased the wireless data traffic, thus increasing the energy consumption and greenhouse (CO2) gas emission. The concept of green 4G LTE networks lies in the development of energy efficient LTE systems for reducing the greenhouse emissions as well as operators´ energy bill. In this letter we first identify the complexity of the optimal traffic awareness in LTE networks and subsequently design a cooperative communication framework for traffic-aware energy optimization. The LTE eNBs explore an information theoretic approach to capture the dynamics and uncertainty of network traffic. Subsequently, using an online, stochastic game theoretic algorithm, the eNBs communicate amongst themselves to optimize the traffic awareness. Optimal traffic awareness helps in reducing the network energy consumption. Simulation results demonstrate that our framework results in almost 22% (40 KW-Hr) daily energy savings across a LTE network of 400 cells.
Keywords :
4G mobile communication; Long Term Evolution; air pollution control; data communication; energy conservation; energy consumption; game theory; smart phones; telecommunication traffic; 4G LTE networks; LTE eNB; cooperative communication framework; energy consumption; energy efficient LTE systems development; energy savings; green 4G LTE networks; green LTE cellular systems; greenhouse emissions reduction; greenhouse gas emission; information theoretic approach; network energy consumption reduction; network traffic dynamics; network traffic uncertainty; optimal traffic awareness; smart phones; stochastic game theoretic algorithm; traffic-aware energy optimization; wireless data traffic; Air pollution; Energy consumption; Entropy; Estimation; Green products; Switches; Wireless communication; Green wireless; NP hard; entropy; game theory;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2013.111213.131809