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Addressing the tradeoff between the QoS and consumed power is a critical issue for wireless ad-hoc networks. The loss observed in such networks is often temporally correlated. This paper examines an optimal scheme to maximize the aggregate data rate of wireless ad-hoc networks under the power and loss constraints. In order to properly model temporally correlated loss observed in a fading wireless channel, we propose the use of finite-state Markov chains. Details of fading statistics of SIR, an important indicator of transmission quality, are presented. We also analyze the impacts of enforcing power, block-loss probabilities, and data rates constraints.