Methods and apparatus for decoding received uplink transmissions using log-likelihood ratio (LLR) optimization
AssigneeMarvell Asia Pte Ltd
InventorsSabih Guzelgoz, Hong Jik Kim
Life of this patent
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Abstract
Methods and 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.
Claims25
An apparatus for processing data transmitted via a communication network, comprising:
- a soft-demapper configured to generate log-likelihood ratios (LLR) values via soft-demapping resource elements in accordance with soft-demapping parameters;
- a decoder coupled to the soft-demapper and configured to generate decoded data based on the LLR values;
- a performance metric circuit coupled to the decoder and identifying a performance metric from the decoded data;
- and
- a processor coupled to the performance metric circuit and configured to adjust one or more soft-demapping parameters in response to the performance metric and a target performance in accordance with an operation of a machine learning algorithm, wherein the processor is able to update the soft-demapping parameters based on a selected LLR bit-width value via performance of the machine learning algorithm.
A method for processing data transmitted via a communication network, comprising:
- generating log-likelihood ratios (LLR) values via soft-demapping resource elements in accordance with soft-demapping parameters;
- activating a decoder to generate decoded data based on the LLR values;
- identifying a performance metric in response to the decoded data;
- adjusting one or more soft-demapping parameters in response to the performance metric and a target performance in accordance with an operation of a machine learning algorithm;
- and
- updating the soft-demapping parameters based on a selected LLR bit-width value via performance of the machine learning algorithm.
An apparatus for processing data transmitted via a communication network, comprising:
- means for generating log-likelihood ratios (LLR) values via soft-demapping resource elements in accordance with soft-demapping parameters;
- means for activating a decoder to generate decoded data based on the LLR values;
- means for identifying a performance metric in response to the decoded data;
- means for adjusting one or more soft-demapping parameters in response to the performance metric and a target performance in accordance with an operation of a machine learning algorithm;
- and
- means for adjusting the soft-demapping parameters based on a selected LLR bit-width value via performance of a machine learning circuit for identifying a performance value.
Dependencies are inferred from the claim text.