DocumentCode :
864618
Title :
Energy-Efficient Resource Allocation in Wireless Networks
Author :
Meshkati, Farhad ; Poor, H. Vincent ; Schwartz, Stuart C.
Author_Institution :
Qualcomm, Inc., San Diego, CA
Volume :
24
Issue :
3
fYear :
2007
fDate :
5/1/2007 12:00:00 AM
Firstpage :
58
Lastpage :
68
Abstract :
This paper shows that game theory can be used as a unifying framework to study radio resource management in a variety of wireless networks. with different service criteria. It focuses on infrastructure networks where users transmit to a common concentration point such as a base station in a cellular network or an access point. Since most of the terminals in a wireless network are battery-powered, energy efficiency is crucial to prolonging the life of the terminals. Also, in most practical scenarios, distributed algorithms are preferred over centralized ones. Throughout this article it focuses on distributed algorithms with emphasis on energy efficiency. A family of power control games is presented for energy-efficient resource allocation in wireless code-division multiple-access (CDMA) networks and give discussions and conclusions
Keywords :
cellular radio; code division multiple access; game theory; mobility management (mobile radio); power control; telecommunication control; CDMA; access point; cellular network; distributed algorithms; energy-efficient resource allocation; power control games; radio resource management; wireless code-division multiple-access; wireless networks; Bandwidth; Delay; Distributed algorithms; Energy efficiency; Game theory; Multiaccess communication; Resource management; Signal processing algorithms; Wireless mesh networks; Wireless networks;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2007.361602
Filename :
4205089
Link To Document :
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