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An accurate Mean Mutual Information computational approach of Link Performance Abstraction

机译:链接性能抽象的精确均值互信息计算方法

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Link Performance Abstraction is very important to adaptive techniques and system level simulation. Mutual Information per Bit is a promising method in Link Performance Abstraction. This paper discusses the distribution of the LLR, and derives an accurate computing approach of Mutual information between data bits and their LLRs in terms of theory. Simulation results show that the proposed approach obtains better accuracy than the traditional algorithms.
机译:链路性能抽象对于自适应技术和系统级仿真非常重要。每位互信息是链路性能抽象中的一种有前途的方法。本文讨论了LLR的分布,并从理论上推导了数据位与其LLR之间互信息的精确计算方法。仿真结果表明,与传统算法相比,该方法具有更高的精度。

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