Title
Dual-utility based green power game in two-tier OFDMA femtocell networks with firefly algorithm
Abstract
This paper presents a game-theoretic approach of power allocation in two-tier OFDMA femtocell networks. A dualutility based non-cooperative game with pricing is formulated for effectively allocating power on each sub-channel, targeting at maximizing energy efficiency for each macro BS and protecting the SINR for each femto BS for customers' interests, under power constraints in each sub-channel. The existence of a unique equilibrium for the proposed game is studied, and the impact of tunable coefficients of the proposed utility function on the equilibrium is investigated theoretically. An effective distributed power allocation algorithm with firefly algorithm (FA) theory is proposed to achieve the equilibrium. Furthermore, how to set the proper parameters of FA for the utility function is studied through numerical analysis. Simulation results show that the proposed scheme can improve energy efficiency of macrocell networks and mitigate the cross-and co-tier interference significantly while guaranteeing target QoS of femtocell users.
Year
DOI
Venue
2013
10.1109/WCNC.2013.6554606
WCNC
Keywords
Field
DocType
cotier interference,macrocell networks,game theoretic approach,two tier ofdma femtocell networks,femtocell user,sinr,utility function,ofdm modulation,numerical analysis,firefly algorithm,telecommunication power management,distributed power allocation algorithm,game theory,qos,dual utility based green power game,energy efficiency,femtocellular radio,pricing,noncooperative game,interference,games,algorithm design and analysis,resource management,signal to noise ratio
Femto-,Femtocell,Distributed power,Efficient energy use,Computer science,Computer network,Firefly algorithm,Game theory,Orthogonal frequency-division multiplexing,Macrocell
Conference
Volume
Issue
ISSN
null
null
1525-3511 E-ISBN : 978-1-4673-5937-5
ISBN
Citations 
PageRank 
978-1-4673-5937-5
1
0.36
References 
Authors
9
4
Name
Order
Citations
PageRank
Wei Li133228.56
Wei Zheng234230.46
Tao Su370.86
Xiangming Wen461882.20