Title
Distributed energy-efficient power optimization in two-tier femtocell networks
Abstract
A major challenge in the two-tier femtocell networks-comprised of a central macrocell underlaid with femtocells is the efficient use of radio resources. Power optimization technique is one important component of radio resource management, since the deployment of femtocells may cause serious cross-tier interference and consume large amounts of energy. This paper presents an energy-efficient power control solution for interference-limited two-tier femtocell networks in the analytical setting of a game theoretic framework, where both circuit and transmission powers have been considered. First, we investigate a non-cooperative power control game for two-tier spectrum-sharing femtocell networks. In order to guarantee that cellular user can obtain its Signal-to-Interference-Pius-Noise Ratio (SINR) target, then we propose an algorithm that reduces transmission powers of the strongest femtocell interferers. According to simulation results, the proposed scheme can improve energy efficiency of femtocell networks and mitigate cross-tier interference significantly.
Year
DOI
Venue
2012
10.1109/ICC.2012.6364882
ICC
Keywords
Field
DocType
optimisation,interference-limited two-tier femtocell networks,central macrocell,power control,radiofrequency interference,femtocell,energy-efficient power control solution,cross-tier interference mitigation,sinr target,cross-tier interference,transmission powers,mobility management (mobile radio),power optimization technique,noncooperative power control game,game theoretic framework,game theory,distributed energy-efficient power optimization,radio resources,signal-to-interference-pius-noise ratio,telecommunication control,two-tier spectrum-sharing femtocell networks,interference suppression,non-cooperative game,radio resource management,energy efficiency,femtocellular radio,interference,non cooperative game,optimization,signal to noise ratio,games
Radio resource management,Femtocell,Power optimization,Efficient energy use,Computer science,Power control,Computer network,Distributed generation,Non-cooperative game,Macrocell
Conference
Volume
Issue
ISSN
null
null
1550-3607 E-ISBN : 978-1-4577-2051-2
ISBN
Citations 
PageRank 
978-1-4577-2051-2
10
0.64
References 
Authors
4
5
Name
Order
Citations
PageRank
Wei Zheng134230.46
Tao Su2151.44
Wei Li333228.56
Zhenping Lu4110.99
Xiangming Wen561882.20