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 :
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