METHODS AND APPARATUS FOR DECODING RECEIVED UPLINK TRANSMISSIONS
The invention relates to methods and an apparatus for decoding received uplink transmissions using log-likelihood ratio optimization. In an embodiment, a method includes soft-demapping resource elements based on soft-demapping parameters as part of a process to generate log-likelihood ratios (LLR) v...
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Main Authors | , |
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Format | Patent |
Language | Chinese English |
Published |
10.09.2021
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Subjects | |
Online Access | Get full text |
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Summary: | The invention relates to methods and an apparatus for decoding received uplink transmissions using log-likelihood ratio optimization. In an embodiment, a method includes soft-demapping resource elements based on soft-demapping parameters as part of a process to generate log-likelihood ratios (LLR) values, decoding the LLRs to generate decoded data, and identifying a target performance value. The method also includes determining a performance metric from the decoded data, and performing a machine learning algorithm that dynamically adjusts the soft-demapping parameters to move the performance metric toward the target performance value.
本公开的实施例涉及对所接收的上行链路传输进行解码的方法和装置,该方法和装置使用对数似然比优化。在一个实施例中,一种方法包括:基于软解映射参数,对资源元素进行软解映射,以作为生成对数似然比(LLR)值的过程的一部分;对LLR进行解码以生成经解码的数据;以及标识目标性能值。该方法还包括:从经解码的数据确定性能度量;以及执行机器学习算法,该机器学习算法动态地调整软解映射参数,以将性能度量朝向目标性能值移动。 |
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Bibliography: | Application Number: CN202110190467 |