Title :
Green resource allocation in LTE system for unbalanced low load networks
Author :
Li, Yun ; Liu, Wenjing ; Cao, Bin ; Li, Man
Author_Institution :
Lab. of Wireless Networks, Chongqing Univ. of Posts & Telecommun., Chongqing, China
Abstract :
In Long Term Evolution (LTE) networks, Energy-Efficient (EE) and Mobility Load Balancing (MLB) are two important functions to optimize the network performance. In order to deal with the energy consumption in downlink LTE system for unbalanced low load scenarios, we built an effective EE resource allocation optimization model and employed a low complexity method to achieve the goal of the optimization in this paper, named EE-VBEM. Simulation results show that EE-VBEM can reduce the overall downlink energy consumption significantly and enhance the spectrum efficiency effectively in unbalanced low load networks.
Keywords :
Long Term Evolution; energy consumption; resource allocation; EE resource allocation optimization model; EE-VBEM; Long Term Evolution networks; downlink LTE system; energy consumption; green resource allocation; mobility load balancing; unbalanced low load networks; Base stations; Downlink; Energy consumption; Energy efficiency; Interference; Resource management; Signal to noise ratio; bandwidth expansion; energy-efficient; load balancing; resource allocation; unbalanced low load;
Conference_Titel :
Personal Indoor and Mobile Radio Communications (PIMRC), 2012 IEEE 23rd International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4673-2566-0
Electronic_ISBN :
2166-9570
DOI :
10.1109/PIMRC.2012.6362492