A physical model for wireless channels to provide insights for long range prediction
A physical model for wireless channels to provide insights for long range prediction
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DOI：
10.1109/milcom.2002.1180517
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发表时间：
2002-10
期刊：
影响因子：
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通讯作者：
H. Hallen;A. Duel-Hallen;Shengquan Hu;Tung-Shen Yang;M. Lei
中科院分区：
文献类型：
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作者：
H. Hallen;A. Duel-Hallen;Shengquan Hu;Tung-Shen Yang;M. Lei
预测高达几个波长的无线信道的算法不能用静态模型进行充分的测试。光线跟踪或FDTD方法不能深入了解反射器配置和长期预测性能之间的关系。因此，我们提出了一个新颖的模型，该模型：(1)创建非平稳数据集来测试我们先前提出的自适应远程预测算法，这使得自适应传输技术能够实际实现；(2)对具有典型或最严重参数变化的反射面几何形状进行分类，以便适当地选择测试数据集的反射面配置；(3)提供对算法所需的适应速度的限制，以显著预测未来的信道，从而揭示未来深度衰落的定时等；(4)阐明测量数据的时间和统计特性的来源。该算法在由物理模型或实际测量数据给出的信道上执行类似，但在由静态Jake模型模拟的信道上不同。当预测与自适应功率控制和自适应调制相结合时，该模型的洞察力准确地描述了算法在多种散射环境中的性能。此外，我们还研究了在相关的上行链路和下行链路传输、正交频分复用(Ofdm)和跳频系统中具有重要意义的频率以外的长期预测的限度。
Algorithms that predict the wireless channel for up to a few wavelengths cannot be adequately tested with stationary models. Ray-tracing or FDTD methods do not provide insights into the relationship between reflector configurations and the performance of long-range prediction. Therefore, we present a novel model that: (1) creates non-stationary datasets to test our previously proposed adaptive long range prediction algorithm, which enables practical realization of adaptive transmission techniques; (2) classifies the reflector geometries that have typical or most severe parameter variations, so that the reflector configurations for test datasets can be appropriately chosen; (3) provides limits on the speed of adaptation needed for an algorithm to predict the channel significantly into the future, and thereby reveal the timing of future deep fades, etc.; (4) illuminates the origins of the temporal and statistical properties of measured data. The algorithm performs similarly on channels given by the physical model or actual measured data, but differently on a channel simulated by the stationary Jakes model. The insights of the model accurately describe the performance of the algorithm in several scattering environments when prediction is employed with adaptive power control and adaptive modulation. Moreover, we study limits of the long-range prediction at frequencies other than the observed frequency, of importance in correlated uplink and downlink transmission, orthogonal frequency division multiplexing (OFDM) and frequency-hopping systems.