DocumentCode
2316889
Title
Power games in MIMO interference systems
Author
Arslan, Gürdal ; Demirkol, M. Fatih ; Yüksel, Serdar
Author_Institution
Dept. of Electr. Eng., Univ. of Hawaii at Manoa, Honolulu, HI, USA
fYear
2009
fDate
13-15 May 2009
Firstpage
52
Lastpage
59
Abstract
We consider a multi-link and multi-input-multi-output (MIMO) interference system in which each link wishes to minimize its own power by choosing its own signal vector subject to an information theoretic quality-of-service (QoS) requirement. Our setup leads to a multi-link game, referred to as a ldquopower gamerdquo, in which the feasible strategy set of an individual link depends on the strategies of the other links. We characterize the rates for which an equilibrium solution exists in a power game in terms of the equilibria of ldquocapacity gamesrdquo introduced in our earlier work (Arslan et al., 2007). We provide an example where the set of equilibrium rates is properly contained in the set of achievable rates. We provide a conservative estimate of the region of equilibrium rates using a minmax approach. We discuss the uniqueness of equilibrium as well as the convergence of best response dynamics (a.k.a. iterative water-filling) for all rates when the interference is sufficiently small and some other mild conditions are met. Finally, we extend our results to the case where the QoS requirements are softened.
Keywords
MIMO communication; game theory; information theory; minimax techniques; quality of service; radio links; radiofrequency interference; MIMO interference system; QoS requirement; capacity game; game theory; information theory; iterative water-filling; minmax approach; multiinput-multioutput system; multilink game; multilink system; power game; quality of service; response dynamics; signal vector; Antenna arrays; Control systems; Game theory; Interference; MIMO; Minimax techniques; Mutual information; Nash equilibrium; Quality of service; Transmitting antennas; Ad-hoc networks; Co-channel interference; Game theory; Generalized Nash equilibrium; MIMO systems; Power control;
fLanguage
English
Publisher
ieee
Conference_Titel
Game Theory for Networks, 2009. GameNets '09. International Conference on
Conference_Location
Istanbul
Print_ISBN
978-1-4244-4176-1
Electronic_ISBN
978-1-4244-4177-8
Type
conf
DOI
10.1109/GAMENETS.2009.5137382
Filename
5137382
Link To Document