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We investigate flow rate optimization on a wireless link with randomly varying channel gain using techniques from adaptive modulation and network utility maximization. We consider the problem of choosing the data flow rate to optimally trade off average transmit power and the average utility of the smoothed data flow rate. The smoothing allows us to model the demands of an application that can tolerate variations in flow over a certain time interval; we will see that this smoothing leads to adoi:10.1109/glocom.2010.5684159 dblp:conf/globecom/AkuiyiboBO10 fatcat:xnfqzgyamzbxjagfpig7jqhf7a