DocumentCode
233972
Title
Joint power control and interference management in two-tier CDMA femtocell networks for multi-agent systems
Author
Lili Hao ; Juhai Ma ; Ling Zhao ; Hongjiu Yang ; Zhixin Liu
Author_Institution
Inst. of Electr. Eng., Yanshan Univ., Qinhuangdao, China
fYear
2014
fDate
28-30 July 2014
Firstpage
1202
Lastpage
1207
Abstract
As energy saving and environmental protection become an inevitable trend, this paper studied the problem of the efficient resource allocation via power control and interference management approaches for multi-agents in two-tier femtocell networks. In this paper, a distributed power control algorithm is proposed to investigate the resource allocation using hierarchical game for two-tier femtocell networks. In the algorithm, the protection of higher-priority multi-agents´ uplink communication and the optimal power allocation for lower-priority multi-agents are simultaneously involved. To manage the cross-tier interference and suppress the near-far effect in the code-division multiple access system, an adaptive pricing scheme is proposed. Numerical example is given to illustrate the effectiveness of the developed algorithms.
Keywords
code division multiple access; distributed control; femtocellular radio; game theory; interference suppression; mobility management (mobile radio); multi-agent systems; numerical analysis; power control; pricing; radiofrequency interference; resource allocation; telecommunication control; adaptive pricing scheme; code-division multiple access system; cross-tier interference management; distributed power control algorithm; energy saving; environmental protection; hierarchical game; higher-priority multiagent system; interference management approach; lower-priority multiagent system; near-far effect; optimal power allocation; resource allocation; two-tier CDMA femtocell network; uplink communication; Femtocell networks; Games; Interference; Power control; Pricing; Resource management; Signal to noise ratio; Adaptive pricing; Femtocell; Hierarchical game; Multi-agent; Resource allocation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2014 33rd Chinese
Conference_Location
Nanjing
Type
conf
DOI
10.1109/ChiCC.2014.6896799
Filename
6896799
Link To Document