We propose practical sets of rules for adapting Clear Channel Assessment (CCA) and Transmit Power (TP) parameters by simulating ensembles of randomly generated wireless networks and collecting throughput statistics. The rules’ performances depend strongly on network topology, with increases in throughput in many cases. However, networks with a high clustering coefficient are often adversely effected by the adaptations. But simulations of small-scale networks show that apparently adverse adaptations may still yield benefits for uneven demand combinations. Finally, we have found that throughput is not usually correlated with the number of hidden or exposed nodes in any non-trivial network set-up.

中文翻译：

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CSMA/CA WLAN 性能增益畅通信道评估阈值自适应和传输功率控制的实用方法

我们通过模拟随机生成的无线网络的集合并收集吞吐量统计数据，提出了一套实用的规则，用于适应清晰信道评估 (CCA) 和传输功率 (TP) 参数。规则的性能在很大程度上取决于网络拓扑，在许多情况下吞吐量会增加。然而，具有高聚类系数的网络经常受到自适应的不利影响。但对小规模网络的模拟表明，明显不利的适应仍可能对不均衡的需求组合产生好处。最后，我们发现吞吐量通常与任何非平凡网络设置中隐藏或暴露节点的数量无关。