Wireless Terminal Decoding Alpha Value Alignment
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Solution Overview
Problem
In 5G wireless communication systems, there is a mismatch between alpha values used for Channel Quality Indicator (CQI) calculation and data decoding, leading to performance loss due to differences in statistical characteristics of interference signals, which affects decoding performance and reliability.
Innovation Solution
A method and apparatus that determine a first characteristic value for interference signals based on received signals and a second characteristic value for data signals, calculating a mismatch metric to adjust decoding operations and resource allocation, enabling reliable communication by aligning alpha values for CQI and data decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If non-Gaussian decoding method is used to enhance performance through FQAM, then decoding performance is improved, but device complexity increases due to needing to calculate alpha value twice
Solution Approach 1:
The patent uses the first alpha value calculated for CQI as an approximation for data decoding when the mismatch metric indicates sufficient accuracy. This copying approach avoids the complexity of calculating a second alpha value while maintaining acceptable decoding performance, thus resolving the contradiction between reliability and device complexity.
Solution Approach 2:
The patent dynamically changes the decoding parameters (whether to calculate a second alpha value) based on the mismatch metric. When the mismatch is within acceptable thresholds, the system uses the first alpha value; when the mismatch exceeds thresholds, it calculates the second alpha value. This adaptive parameter change optimizes the balance between decoding performance and computational complexity.
2Device complexity
If alpha value for CQI calculation is used for data decoding, then device complexity is reduced, but measurement precision deteriorates due to mismatch between CQI and data decoding conditions
Solution Approach 1:
The patent introduces a mismatch metric as feedback to evaluate the accuracy of using the first alpha value for data decoding. The mismatch metric compares channel conditions between CQI calculation and data reception, providing feedback on whether the approximation is acceptable. This feedback mechanism ensures measurement precision is maintained when complexity is reduced.
Solution Approach 2:
The patent dynamically adjusts the use of alpha values based on changing channel conditions. The system transitions from always calculating a second alpha value to conditionally using the first alpha value, with the transition determined by the mismatch metric. This dynamic approach maintains precision when needed while reducing complexity when conditions permit.
3Productivity
If FQAM modulation is used to achieve non-Gaussian interference signal, then spectrum efficiency is improved, but manufacturing precision worsens due to difficulty in controlling decoding parameters
Solution Approach 1:
The patent segments the decoding parameter control into distinct stages: CQI calculation phase and data decoding phase. By separating these phases and introducing the mismatch metric to bridge them, the system manages the complexity of FQAM decoding more effectively, improving the precision of parameter control while maintaining the spectrum efficiency benefits of FQAM.
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 Long Term Evolution (LTE). The present invention relates to method and apparatus for performing a decoding with low complexity in a wireless communication system. A decoding method of a terminal in a wireless communication system comprises determining a first characteristic value indicating a statistical characteristic of an interference signal based on a received signal of a base station, determining a second characteristic value indicating a statistical characteristic of an interference signal based on data received from the base station, and decoding the data according to a decoding scheme corresponding to a difference of the first characteristic value and the second characteristic value.