Adaptive stochastic iterative rate selection for wireless channels
Adaptive stochastic iterative rate selection for wireless channels
复制标题
无线信道的自适应随机迭代速率选择
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
R. Chandramouli
中科院分区：
文献类型：
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作者：
M. A. Haleem;R. Chandramouli
提出了一种信道自适应速率选择（调制编码方案）的随机算法。该算法通过迭代增加速率选择概率向量来学习最优策略。虽然实现简单，但该技术不需要显式信道估计阶段。来自数据链路层的单比特ACK/NACK信号反馈被用作随机算法的输入。如收敛定理所示，该算法在“静态”信道中达到最佳速率。时变信道被视为“准静态”信道，并且随着信道状态的变化而自适应地收敛到最优速率。
A stochastic algorithm for channel adaptive rate selection (modulation and coding scheme or MCS) is proposed. The algorithm learns the optimal policy by iteratively augmenting a rate selection probability vector. While simple to implement, this technique requires no explicit channel estimation phase. The single bit ACK/NACK signal feedback from the data link layer is used as the input to the stochastic algorithm. As shown in the convergence theorems, the algorithm achieves the optimal rate in "static" channels. A time varying channel is seen as a "quasi-static" channel, and adaptively converged to optimal rates as channel state changes.