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• W1596563661 abstract "We consider a wireless communication system in which N transmitter-receiver pairs want to communicate with each other. Each transmitter transmits data at a certain rate using a power that depends on the channel gain to its receiver. If a receiver can successfully receive the message, it sends an acknowledgement (ACK), else it sends a negative ACK (NACK). Each user aims to maximize its probability of successful transmission. We formulate this problem as a stochastic game and propose a fully distributed learning algorithm to find a correlated equilibrium (CE). We also propose a fully distributed learning algorithm to find a Pareto optimal solution, and we compare the utilities of each user at the CE and the Pareto point and also with some other well known recent algorithms." @default.
• W1596563661 created "2016-06-24" @default.
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• W1596563661 date "2015-06-01" @default.
• W1596563661 modified "2023-09-25" @default.
• W1596563661 title "Distributed learning of equilibria for a stochastic game on interference channels" @default.
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• W1596563661 doi "https://doi.org/10.1109/spawc.2015.7227118" @default.
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