Title :
Energy Source Aware Target Cell Selection and Coverage Optimization for Power Saving in Cellular Networks
Author :
Zhou, Juejia ; Li, Mingju ; Liu, Liu ; She, Xiaoming ; Chen, Lan
Author_Institution :
DOCOMO Beijing Commun. Labs. Co., Ltd., Beijing, China
Abstract :
The spread of mobile connectivity is generating major social and economic benefits around the world, while along with the rapid growth of new telecommunication technologies like mobile broadband communication and M2M (Machine-to-Machine) networks, larger number of various base stations will be employed into the network, which will greatly increase the power expense and CO2 emission. In order to degrade the system power expense, variety of researches on new energy and novel transmission technology are put in agenda. In this paper, instead of reducing the absolute power expense, the research focuses on guiding more power consumption into green source energy, which implying that the UEs (User Equipment), especially the cell edge UEs, will have preferential access to the BSs (Base Station) with natural energy supply. To realize the tendentious connection, two detailed approaches are proposed, the HO (Hand Over) parameter tuning for target cell selection and power control for coverage optimization. The system evaluation shows that, by proper setting of parameters in HO and power control, both of the two approaches can achieve good balance between energy saving effect and system throughput impact.
Keywords :
broadband networks; cellular radio; environmental factors; mobile communication; mobility management (mobile radio); power aware computing; cellular networks; coverage optimization; energy saving; energy source aware target cell selection; green source energy; hand over parameter tuning; machine-to-machine networks; mobile broadband communication; mobile connectivity; natural energy supply; power consumption; power control; power saving; telecommunication technologies; transmission technology; Air pollution; Computer architecture; Green products; Microprocessors; Power control; Throughput; Tuning; Cell selection; Energy saving; Handover; Power control;
Conference_Titel :
Green Computing and Communications (GreenCom), 2010 IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom)
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-9779-9
Electronic_ISBN :
978-0-7695-4331-4
DOI :
10.1109/GreenCom-CPSCom.2010.56