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We investigate energy efficient packet scheduling and power allocationproblem for the services which require reliable communication to guarantee acertain quality of experience (QoE). We establish links between averagetransmit power and reliability of data transfer, which depends on both averageamount of data transfer and short term rate guarantees. We consider aslow-fading point-to-point channel without channel state information at thetransmitter side (CSIT). In the absence of CSIT, the slow fading channel has anoutage probability associated with every transmit power. As a function of dataloss tolerance parameters, and minimum rate and peak power constraints, weformulate an optimization problem that adapts rate and power to minimize theaverage transmit power for the user equipment (UE). Then, a relaxedoptimization problem is formulated where transmission rate is assumed to befixed for each packet transmission. We use Markov chain to model constraints ofthe optimization problem. The corresponding problem is not convex for both ofthe formulated problems, therefore a stochastic optimization technique, namelythe simulated annealing algorithm, is used to solve them. The numerical resultsquantify the effect of various system parameters on average transmit power andshow significant energy savings when the service has less stringentrequirements on timely and reliable communication.

On Optimizing Power Allocation For Reliable Communication over Fading Channels with Uninformed Transmitter