NDLI: MIMO interference cancelation via network formation game

Content Provider	IEEE Xplore Digital Library
Author	Tong Zhou Yan Chen Liu, K.J.R.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, TX, USA (Tong Zhou; Yan Chen; Liu, K.J.R.)
Abstract	This paper considers the cooperative maximization of mutual information in the MIMO Gaussian interference channel in a fully distributed manner via game theory. Null shaping constraints are enforced in the design of transmit covariance matrices to enable interference mitigation among links. The transmit covariance matrices leading to the Nash Equilibrium (NE) are derived, and the existence and uniqueness of the NE is analyzed. The formation of the cooperative sets, that represent the cooperation relationship among links, is considered as network formation games. We prove that the proposed network formation (NF) algorithm converges to a Nash Equilibrium. Simulation results show that the proposed NF algorithm enhances the sum rate of the system apparently even at low signal-to-noise ratio region and/or with small number of transmit antennas.
Sponsorship	IEEE Commun. Soc.
Starting Page	3423
Ending Page	3428
File Size	336110
Page Count	6
File Format	PDF
ISBN	9781479913534
DOI	10.1109/GLOCOM.2013.6831602
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Games Interference Covariance matrices MIMO Noise measurement Transmitters Signal processing algorithms
Content Type	Text
Resource Type	Article

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