In this work we are concerned with dynamically sharing the spectrum in the time-domain by exploiting whitespace between the bursty transmissions of a primary user, represented by an 802.11b-based wireless LAN (WLAN). For deriving such schemes we need to establish a model of the WLAN's medium access as to predict its behavior accurately. Moreover, a balance between accuracy and complexity needs to be struck as to render the model useful in practice. We emphasize that our model is based on actual measurements at 2.4GHz using a vector signal analyzer.
rnWe have shown previously that a semi-Markov model is a viable approach for modeling the busy/idle durations. In the present paper we extend our results by (i) expanding the measurement setup and looking at more realistic traffic scenarios, (ii) providing a better approximation to the distribution of the idle durations, and (iii) fitting a phasetype approximation to arrive at a computationally simpler description. The goodness-of-fit of the proposed models is evaluated using the Kolmogorov-Smirnov test.
在这项工作中,我们关注通过利用以802.11b为基础的无线LAN(WLAN)表示的主要用户的突发传输之间的空白在时域中动态共享频谱。为了推导这样的方案,我们需要建立WLAN媒体访问的模型以准确预测其行为。此外,需要在准确性和复杂性之间取得平衡,以使模型在实践中有用。我们强调,我们的模型是基于使用矢量信号分析仪在2.4GHz上的实际测量结果。 P> rn
我们先前已经证明,半马尔可夫模型是一种建模忙/闲时间的可行方法。在本文中,我们通过以下方法扩展了结果:(i)扩展测量设置并查看更现实的交通场景,(ii)为空闲时间的分布提供更好的近似值,(iii)拟合相位类型近似值以得出计算上更简单的描述。使用Kolmogorov-Smirnov检验评估了所提模型的拟合优度。 P>
Cornell University, Ithaca, NY;
Army Research Laboratory, Adelphi, MD;
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