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Adaptive Joint Source–Channel Rate Allocation Policies for Delay Sensitive Applications Over Fading Channels

机译:衰落信道上延迟敏感应用的自适应联合源-信道速率分配策略

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In this correspondence, we consider a problem of optimal source, channel coding rate pair allocation over a wireless link based on the channel fading state and the queue length of the transmitter. The source is delay sensitive. Therefore, our objective is to minimize the mean delay under given mean power and distortion constraints. We show that by jointly optimizing the source and channel rates, one can gain substantially in performance as compared to only source or channel rate optimization, as is usually considered in the literature. This is shown for single user, single-input-single-output (SISO), multiple-input-multiple-output (MIMO), and multiuser systems. The methods used are from Markov decision theory
机译:在这种对应关系中,我们考虑了基于信道衰落状态和发射机的队列长度在无线链路上优化源,信道编码率对分配的问题。源对延迟敏感。因此,我们的目标是在给定的平均功率和失真约束下将平均延迟降至最低。我们表明,通过联合优化源速率和信道速率,与仅源或信道速率优化相比,人们可以显着提高性能,这在文献中通常会被考虑到。所示为单用户,单输入单输出(SISO),多输入多输出(MIMO)和多用户系统。使用的方法来自马尔可夫决策理论

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