On Error-Constrained Data Throughput of Rapid Symbol Duration Adaptation with Imperfect Channel Information

D.C. Lee, M. Naeem, S. Xue
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引用次数: 1

Abstract

This paper quantitatively analyzes the effect of noisy outdated channel estimation on symbol-by-symbol (SBS) adaptation. We consider a rudimentary yet simple duration adaptation policy, which prescribes the momentary symbol rate as a linear function of the channel estimation. We present an optimization of such a simple policy to have an error-constrained data throughput as high as possible. The results shows that even with such a rudimentary adaptation policy and with a simple channel estimation scheme, the SBS adaptation achieves significant throughput gains over a frame-by-frame (FBF) adaptation.
不完全信道信息下符号持续时间快速自适应的错误约束数据吞吐量研究
本文定量分析了噪声过时信道估计对SBS自适应的影响。我们考虑了一种基本而简单的持续时间自适应策略,该策略将瞬时符号率规定为信道估计的线性函数。我们对这样一个简单的策略进行了优化,以获得尽可能高的错误约束数据吞吐量。结果表明,即使使用如此基本的自适应策略和简单的信道估计方案,SBS自适应也比逐帧(FBF)自适应获得了显着的吞吐量增益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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