DocumentCode :
252611
Title :
Energy efficient cooperative cell control of LTE-Advanced cellular networks
Author :
Yuan Gao ; Yi Li ; Hongyi Yu ; Xianfeng Wang ; Shihai Gao
Author_Institution :
State Key Lab. on Microwave & Digital Commun., Tsinghua Univ., Beijing, China
fYear :
2014
fDate :
11-12 Aug. 2014
Firstpage :
263
Lastpage :
267
Abstract :
To reduce energy waste in future cellular networks, the most effective and reliable method is to close idle base stations when not needed, but how to find the proper and optimal method to control the target cell and the adjacent ones are still blank according to recent researches. In this work, we extend our research in cooperative scheme, and figure out a heuristic control method of eNodeBs in GREEN mode. We first define the energy efficient controls of LTE-Advanced cells in cooperative mode and raise a heuristic algorithm to support the on-off optimal control of LTE-Advanced cooperative eNodeBs, especially when and which eNodeB will be changed into sleep mode and which one(s) need to be waken up. Compared with no shut down methods, we have obtained about six times of the total savings by adopting our control method with the cost of less than 6% of the system overall QoS under both theoretical and LTE-Advanced system level simulation platform.
Keywords :
Long Term Evolution; cellular radio; cooperative communication; energy conservation; optimal control; quality of service; telecommunication control; telecommunication power management; GREEN mode; LTE-advanced cellular networks; LTE-advanced cooperative eNodeBs; LTE-advanced system; QoS; base stations; cooperative scheme; energy efficient controls; energy efficient cooperative cell control; energy waste; heuristic algorithm; heuristic control method; sleep mode; Base stations; Conferences; Green products; Heuristic algorithms; Long Term Evolution; Mathematical model; Uplink; LTE-Advanced; System Level simulation; cooperative control; energy efficient; heterogeneous networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and System Graduate Research Colloquium (ICSGRC), 2014 IEEE 5th
Conference_Location :
Shah Alam
Print_ISBN :
978-1-4799-5691-3
Type :
conf
DOI :
10.1109/ICSGRC.2014.6908734
Filename :
6908734
Link To Document :
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