DocumentCode :
132697
Title :
Improving UE SINR and networks energy efficiency based on femtocell self-optimization capability
Author :
Xinsheng Zhao ; Peng Chen
Author_Institution :
Nat. Mobile Commun. Res. Lab., Southeast Univ. Nanjing, Nanjing, China
fYear :
2014
fDate :
6-9 April 2014
Firstpage :
155
Lastpage :
160
Abstract :
Femtocells, which provide an improved SINR for user equipment (UE) inside homes and offices, have been widely deployed jointly with macrocells in heterogeneous networks (Het-Net). With self-configuration and self-optimization functionalities of self-organization networks (SONs), femtocells can minimize the impact on macro cellular network by adapting transmit power according to surrounding environment. In this paper, we propose a novel self-optimization mechanism for femtocell, which can improve indoor coverage and promote energy efficiency of networks. It allows a femtocell to compare its distance from UE with a threshold (virtual cell size) periodically and turn on or off radio transmission accordingly. Simulation results show that the proposed mechanism achieves a higher indoor signal-to-interference-noise ratio (SINR) and capacity without adding interference to macro network, and gains an average reduction of approximately 58.5% in femtocell´s transmit power consumption.
Keywords :
energy conservation; femtocellular radio; indoor radio; optimisation; power consumption; telecommunication power management; HetNet; SON; UE SINR; femtocell self-optimization capability; femtocell transmit power consumption; heterogeneous networks; indoor coverage; indoor signal-to-interference-noise ratio; macrocellular network; macronetwork; networks energy efficiency; radio transmission; self-configuration functionalities; self-optimization functionalities; self-optimization mechanism; self-organization networks; user equipment; virtual cell size; Conferences; Interference; Long Term Evolution; Macrocell networks; Propagation losses; Self-organizing networks; Signal to noise ratio; Energy Efficiency; SINR; Self-Optimization; Virtual Cell Size;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference Workshops (WCNCW), 2014 IEEE
Conference_Location :
Istanbul
Type :
conf
DOI :
10.1109/WCNCW.2014.6934878
Filename :
6934878
Link To Document :
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