Electronic device and operation method thereof
AssigneeSamsung Electronics Co., Ltd.
InventorsSeunghun Yu, Kwonyeol Park, Kyusuk Mo
Life of this patent
Estimating the term…
Abstract
Provided are an electronic device capable of learning a log likelihood ratio (LLR) scaling factor distribution, and an operation method of the electronic device. The operation method of the electronic device includes receiving training environment information, obtaining a measurement log likelihood ratio (LLR) distribution, based on the training environment information, obtaining an inter-distribution divergence value, based on a reference LLR distribution and the measurement LLR distribution, and obtaining an LLR scaling factor distribution by converting the inter-distribution divergence value into a probability value.
Claims17
An operation method of an electronic device, the operation method comprising:
- receiving training environment information;
- obtaining a measurement log likelihood ratio (LLR) distribution, based on the training environment information;
- obtaining an inter-distribution divergence value, based on a reference LLR distribution and the measurement LLR distribution;
- obtaining an LLR scaling factor distribution by converting the inter-distribution divergence value into a probability value;
- receiving communication environment information;
- selecting a first LLR scaling factor corresponding to the communication environment information;
- obtaining an output LLR distribution, based on input data and the first LLR scaling factor;
- and
- obtaining decoding data by decoding the output LLR distribution.
An electronic device comprising:
- a log likelihood ratio (LLR) scaling factor selector configured to receive communication environment information and select a first LLR scaling factor corresponding to the communication environment information;
- a symbol detector configured to obtain an output LLR distribution, based on input data and the first LLR scaling factor,
- wherein the LLR scaling factor selector receives training environment information, obtains a measurement LLR distribution based on the training environment information, obtains an inter-distribution divergence value based on a reference LLR distribution and the measurement LLR distribution, and converts the inter-distribution divergence value into a probability value to obtain an LLR scaling factor distribution;
- and
- a decoder configured to obtain decoding data by decoding the output LLR distribution.
A non-transitory computer readable storage medium storing instructions configured to cause a processor, when executing the instructions, to perform log likelihood ratio (LLR) scaling factor distribution learning, the LLR scaling factor distribution learning comprising:
- receiving training environment information;
- obtaining a measurement LLR distribution, based on the training environment information;
- obtaining an inter-distribution divergence value, based on a reference LLR distribution and the measurement LLR distribution;
- and
- obtaining an LLR scaling factor distribution by converting the inter-distribution divergence value into a probability value;
- receiving communication environment information;
- selecting a first LLR scaling factor corresponding to the communication environment information;
- obtaining an output LLR distribution, based on input data and the first LLR scaling factor;
- and
- obtaining decoding data by decoding the output LLR distribution.
Dependencies are inferred from the claim text.