LDPC Signal Reception With Node-Degree Quantization Control
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Solution Overview
Problem
The increasing demand for higher data rates in 5G communication systems, particularly in mobile communication, leads to higher hardware resource requirements, resulting in increased hardware mounted area and power consumption in base stations and mobile stations.
Innovation Solution
A method and apparatus for signal reception in a communication system supporting LDPC codes, which involves determining the number of quantization bits and the range of quantization levels based on the degree of nodes in a bipartite graph to optimize decoding, thereby reducing hardware requirements and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If hardware resources are increased to support higher data rates in 5G communication systems, then data throughput is improved, but hardware mounted area and power consumption increase
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the number of quantization bits used in LDPC decoding based on the degree of variable nodes. Instead of using a fixed number of quantization bits for all nodes, the system varies this parameter according to node degree, allowing efficient decoding with reduced computational complexity and hardware requirements while maintaining high data throughput capability
Solution Approach 2:
The patent implements local quality by treating different variable nodes differently based on their degrees in the bipartite graph. Nodes with different degrees receive different numbers of quantization bits, optimizing the decoding process locally for each node type rather than applying a uniform approach, thereby reducing overall hardware complexity while maintaining decoding performance
2Productivity
If hardware resources are increased to support higher data rates in 5G communication systems, then data throughput is improved, but power consumption increases
Solution Approach 1:
The patent reduces power consumption by changing the parameter of quantization bit allocation. By using fewer quantization bits for high-degree variable nodes and allocating bits differently based on node degree, the computational complexity and energy required for each decoding operation is reduced, enabling high data throughput with lower power consumption
Solution Approach 2:
The patent applies partial action by not uniformly allocating maximum quantization bits to all variable nodes. Instead, it provides sufficient quantization precision only where needed (for low-degree nodes) and uses fewer bits for high-degree nodes, achieving effective decoding with reduced overall computational effort and power consumption
3Measurement precision
If the number of quantization bits is increased to improve decoding precision, then error correction performance is improved, but hardware complexity increases
Solution Approach 1:
The patent applies local quality by allocating different numbers of quantization bits to variable nodes based on their degrees in the LDPC code's bipartite graph. Low-degree nodes receive more quantization bits for higher precision, while high-degree nodes receive fewer bits, optimizing the balance between decoding precision and hardware complexity
Solution Approach 2:
The patent changes the parameter of quantization bit allocation from a fixed uniform value to a variable value dependent on node degree. This parameter change allows the system to achieve sufficient decoding precision with fewer total bits, reducing hardware complexity while maintaining error correction performance
Data Source
AI summary
The present disclosure relates to a pre-5th-generation (5G) or 5G communication system to be provided for supporting higher data rates beyond 4th-generation (4G) communication system such as a long term evolution (LTE). A method includes decoding a codeword corresponding to a preset decoding scheme to detect reliability information of each of codeword bits included in the codeword, wherein at least one of a number of quantization bits and a range of a quantization level used for detecting reliability information in the decoding scheme is determined based on a degree of a node on a bipartite graph of a low density parity check (LDPC) code.