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This paper is concerned with distributed joint user and antenna selection strategy for multiple-input multiple-output broadcast channels. Firstly, the selection is formulated as a discrete game in which the users are regarded as game participants. We design a joint selection strategy and the optimal strategy profile which maximizes the sum rate constitutes a pure strategy Nash equilibrium. Then a...
We study the game theoretic relay selection in cognitive relay networks under the interference power constraint at the primary receivers and the total available power constraint for the secondary relays. Based on the game model proposed in [1], the problem of relay selection is formulated as a noncooperative game where the rate of cognitive relay network is used as the common utility. This game is...
This paper studies opportunistic spectrum sharing strategy (i.e., quantized precoding strategy) selection for cognitive multiple-input multiple-output multiple access channels with limited feedback under interference power constraint and maximum transmission stream number constraint. We put forward a game-theoretic framework to model the precoding strategy selection behaviors of the secondary users...
This paper investigates the joint user and transmit antenna selection for uplink multi-user MIMO systems. Our goal is to maximize the sum-rate capacity. The naive exhaustive search algorithm which can get the optimal sum rate performance is impractical in the large system. To tradeoff the complexity and performance, two suboptimal low-complexity joint user and transmit antenna selection algorithms...
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