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LMS Markov model and its use for power control error impact analysis on system capacity

机译:LMS Markov模型及其用于电源控制误差影响分析系统容量

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We present a wideband land mobile satellite channel model based on a three-state Markov chain model valid for any kind of satellite constellation and for L, S, and Ka bands. Data from measurement campaigns was used to extract the parameters for the statistical distributions involved in the model. We also present a methodology describing how to use the proposed channel model to interface with system-level analysis. We use the time series generated by the model to parameterize power control (PC) imperfection as a function of the environment and user speed by acting upon the time series through a seven-level PC algorithm. We then apply the obtained parameterization to the analysis of a direct sequence-code division multiple-access scenario with users requiring different quality-of-service (QoS). It is shown that request of different QoS produces an unbalance in the users power distribution and less users can be served with the most demanding QoS. PC error worsens this effect and considerably reduces capacity efficiency which is highly dependent on the environment and mobile speed. Bit-error rate statistics are also investigated through the log-normal characterization obtained by using the channel model obtaining results on the effect of required Eb/(No+Io) of a particular user.
机译:我们介绍了一种基于三州马尔可夫链模型的宽带陆地移动卫星模型,适用于任何类型的卫星星座和L,S和KA带。来自测量活动的数据用于提取模型中涉及的统计分布的参数。我们还提出了一种描述如何使用所提出的频道模型与系统级分析接口的方法。我们使用模型生成的时间序列通过通过七级PC算法作用于时序序列来参数化电力控制(PC)缺陷和用户速度。然后,我们将获得的参数化应用于与需要不同服务质量(QoS)的用户的直接序列码分多址方案的分析。结果表明,不同QoS的请求在用户配电中产生不平衡,并且可以使用最苛刻的QoS服务较少的用户。 PC错误恶化此效果,大大降低了高度依赖于环境和移动速度的能力效率。还通过使用通过使用特定用户所需的EB /(No + IO)的效果获得的频道模型获得的日志正常表征来研究误码率统计。

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