IEEE Transactions on Wireless Communications
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The short-range, wideband wireless networking in office or residential buildings has been an emerging technology to support high quality multimedia services. Understanding the spatial-temporal dynamic properties of indoor wireless channels is essential to design the adaptive transmission protocols for optimizing the system performance. In this paper, we extend the propagation graph in [1] to study the channel dynamics of two scenarios. First, human Body Shadowing Effect (BSE) is very common in the indoor environments and can dramatically decrease the received signal energy when the significant propagation paths are blocked. We build an analytical model to estimate the power attenuation by the BSE. Second, we consider the movement of the mobile terminal and calculate the Doppler frequency shift and spectrum spread using the propagation graph. The paper provides new analytical methodologies to study the channel dynamics. Compared to the traditional ray tracing, the proposed method has much lower computational complexity and thus can be used for fast on-line estimation of the channel variation.