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A Cognitive Mechanism for Rate Adaptation in Wireless Networks

机译：无线网络速率适配的认知机制

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摘要

Sophisticated wireless interfaces support multiple transmission data rates and the selection of the optimal data rate has a critical impact on the overall network performance. Proper rate adaptation requires dynamically adjusting data rate based on current channel conditions. Despite several rate adaptation algorithms have been proposed in the literature, there are still challenging issues related to this problem. The main limitations of current solutions are concerned with how to estimate channel quality to appropriately adjust the rate. In this context, we propose a Cognitive Rate Adaptation mechanism for wireless networks. This mechanism includes a distributed self-configuration algorithm in which the selection of data rate is based on past experience. The proposed approach can react to changes in channel conditions and converge to the optimal data rate, while allowing a fair channel usage among network nodes. Simulation results obtained underline performance benefits with respect to existing rate adaptation algorithms.
机译：先进的无线接口支持多种传输数据速率，最佳数据速率的选择对整体网络性能具有至关重要的影响。正确的速率调整要求根据当前信道条件动态调整数据速率。尽管在文献中已经提出了几种速率自适应算法，但是仍然存在与此问题有关的挑战性问题。当前解决方案的主要局限性在于如何估计信道质量以适当地调整速率。在这种情况下，我们提出了一种无线网络的认知速率自适应机制。该机制包括分布式自配置算法，其中数据速率的选择基于过去的经验。所提出的方法可以对信道条件的变化做出反应并收敛到最佳数据速率，同时允许网络节点之间公平地使用信道。获得的仿真结果强调了相对于现有速率自适应算法的性能优势。

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