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HSDPA/HDR systems allow the use of sophisticated opportunistic schedulers that can utilize information on instantaneous channel conditions. On the other hand, for elastic data traffic the size of the files can be used in size-dependent scheduling methods, e.g., the well known SRPT scheduler, to minimize the flow delays. In this paper, the authors consider the optimal use of both size and channel information for minimizing the flow delay. They derive several heuristics which utilize both types of information. In a static setting with two flows and two rates, the optimal policy can be constructed via dynamic programming and can be compared against the policies using exact size knowledge.
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