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Battery-Aware Adaptive Modulation Based on Large-Scale MDP

We treat the problem of designing the optimal transmission scheme that is adapted to the battery state, the channel and buffer conditions, and the incoming traffic rate. We assume that the battery states can be tracked at every time slot, so that the problem is formulated as a large-scale Markov decision process (MDP). An efficient sparse sampling method is employed to obtain a solution. Simulation results are provided to demonstrate that the proposed schemes can considerably increase the lifetime of the battery-powered wireless systems while satisfying QoS (quality of Service) constraints.