Title :
For better energy consumption and management in future cellular networks
Author :
Nahas, Michel ; Ghantous, Milad ; Al Haj Ismaiil, Khaled ; Assaf, Bachir
Author_Institution :
Sch. of Eng., Lebanese Int. Univ. (LIU), Beirut, Lebanon
Abstract :
The success of wireless mobile networks is leading to an increase of power consumption in cellular networks caused by the massive growth in the number of base stations worldwide to serve the large cellular traffic demand. Hence, new methods and strategies are needed in the management of mobile networks in order to decrease energy consumption while maintaining reasonable costs and high quality of service for the users. Therefore, a new algorithm is proposed in this paper to help in reducing energy consumption of heterogeneous Long Term Evolution (LTE) network using Macro and Micro base stations. This algorithm will compute the energy consumption of different cell coverage configurations and choose the least power demanding scenario. Numerical simulations will prove the efficiency of our algorithm in comparison with traditional and existing cellular coverage schémas.
Keywords :
Long Term Evolution; cellular radio; energy management systems; quality of service; telecommunication power management; telecommunication traffic; base stations; cellular networks; cellular traffic demand; energy consumption; energy management; heterogeneous long term evolution network; power consumption; quality of service; wireless mobile networks; Base stations; Computer architecture; Energy consumption; Gases; Mobile communication; Mobile computing; Power demand; Cell zooming; Cellular networks; Energy saving; Green communications; Sleep mode;
Conference_Titel :
Renewable Energies for Developing Countries (REDEC), 2014 International Conference on
DOI :
10.1109/REDEC.2014.7038544