论文标题
在准静态通道的有限区块长度中使用量化反馈的goodput最大化
Goodput Maximization with Quantized Feedback in the Finite Blocklength Regime for Quasi-Static Channels
论文作者
论文摘要
在本文中，我们研究了一个量化的反馈方案，以最大程度地提高有限块长度通信方案在准静态褪色通道上。假定接收器具有完美的通道状态信息（CSI），并将CSI通过分辨率有限的无错误反馈通道发送到发射机。使用该部分CSI，发射器应该选择最佳传输速率，从而最大程度地提高通信系统的整体好处。已经研究了该问题针对渐近区块长度制度，但是，到目前为止，尚未提出有关有限区块长度的解决方案。在这里，我们在两种情况下研究了这个问题：有和没有限制可靠性。我们首先提出优化问题并分析解决。介绍了成功利用两种情况的系统参数的迭代算法。结果表明，尽管可实现的最大好评随着较短的区块长度和更高的可靠性要求而降低，但即使使用粗制的反馈方案也可以实现显着改善。
In this paper, we study a quantized feedback scheme to maximize the goodput of a finite blocklength communication scenario over a quasi-static fading channel. It is assumed that the receiver has perfect channel state information (CSI) and sends back the CSI to the transmitter over a resolution-limited error-free feedback channel. With this partial CSI, the transmitter is supposed to select the optimum transmission rate, such that it maximizes the overall goodput of the communication system. This problem has been studied for the asymptotic blocklength regime, however, no solution has so far been presented for finite blocklength. Here, we study this problem in two cases: with and without constraint on reliability. We first formulate the optimization problems and analytically solve them. Iterative algorithms that successfully exploit the system parameters for both cases are presented. It is shown that although the achievable maximum goodput decreases with shorter blocklengths and higher reliability requirements, significant improvement can be achieved even with coarsely quantized feedback schemes.
