DocumentCode
2160582
Title
Game theory based load balancing in self-optimizing wireless networks
Author
He, Hao ; Wen, Xiangming ; Zheng, Wei ; Sun, Yong ; Wang, Bo
Author_Institution
Beijing Univ. of Posts & Telecommun., Beijing, China
Volume
4
fYear
2010
fDate
26-28 Feb. 2010
Firstpage
415
Lastpage
418
Abstract
Recently self-optimizing as a new characteristic in wireless networks attracts more and more attention. A game theoretic solution for load balancing by downlink power modification in 3GPP Long Term Evolution systems is presented in this paper. We formulate this problem as market equilibrium and use Fisher model with linear inequalities to find prices. Simulation results demonstrate proposed algorithm brings more gain in capacity of the system.
Keywords
3G mobile communication; game theory; 3GPP; Fisher model; downlink power modification; game theory; linear inequalities; long term evolution systems; self-optimizing wireless networks; wireless networks; Base stations; Downlink; Game theory; Helium; Interference; Load management; Multiaccess communication; Power system modeling; Signal to noise ratio; Wireless networks; game theory; load balancing; market equilibrium; self-optimizing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5585-0
Electronic_ISBN
978-1-4244-5586-7
Type
conf
DOI
10.1109/ICCAE.2010.5451645
Filename
5451645
Link To Document