Corrected Signal-to-Noise Ratio for Wireless Interference
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In LTE wireless communication systems, the existing methods for calculating signal-to-noise ratio (SNR) do not accurately account for inter-cell interference and interference between user equipment (UE), leading to inaccurate channel state information (CSI) and suboptimal communication performance.
Innovation Solution
A method and apparatus that correct the effective SNR by using a mapping relationship, incorporating parameters such as receiver algorithms and interference signals, to obtain a more accurate corrected SNR, which is then used to improve the accuracy of CSI feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the MMSE criterion is used to calculate the signal-to-noise ratio in conventional LTE systems, then the calculation process is simple, but the obtained signal-to-noise ratio does not accurately reflect the actual channel state due to ignoring inter-cell interference and interference between UEs
Solution Approach 1:
The patent segments the signal-to-noise ratio calculation into two distinct stages: first calculating an effective signal-to-noise ratio using the MMSE criterion, then applying a separate correction process using a mapping relationship that accounts for interference parameters. This segmentation allows the system to maintain calculation simplicity while improving accuracy through the additive correction term.
Solution Approach 2:
The patent introduces a mapping relationship as an intermediary element that bridges the simple MMSE-based effective SNR calculation and the more accurate corrected SNR. This mapping relationship acts as a mediator that incorporates interference information without requiring a complete redesign of the underlying MMSE calculation framework.
2Measurement precision
If inter-cell interference and interference between UEs are considered in the signal-to-noise ratio calculation, then the accuracy of channel state information is improved, but the calculation complexity increases
Solution Approach 1:
The patent performs preliminary calculation of the effective signal-to-noise ratio using the MMSE criterion before applying the interference correction. This preliminary action establishes a baseline that is then refined through the correction mapping, allowing the system to benefit from both the simplicity of MMSE and the accuracy of interference-aware calculation.
Solution Approach 2:
The patent changes the parameters used in the SNR calculation by introducing additional terms that represent inter-cell interference and inter-UE interference. These parameter changes are implemented through the mapping relationship, which transforms the effective SNR into a corrected SNR that incorporates interference effects without requiring a complete recalculation from scratch.
3Object-affected harmful factors
If the IRC receiver is used to reject inter-cell interference, then some interference rejection capability is achieved, but the capability is limited and cannot effectively reject interference between paired UEs in MU-MIMO systems
Solution Approach 1:
The patent creates a universal correction mechanism that works across different interference scenarios including both inter-cell interference and inter-UE interference in MU-MIMO systems. The mapping relationship serves as a multi-functional tool that adapts to different interference types by incorporating relevant parameters for each scenario, making the solution more versatile than the IRC receiver which is specialized for inter-cell interference only.
Data Source
AI summary
Relating to the field of wireless communications, a method and an apparatus for determining a signal-to-noise ratio in wireless communication are provided. The method includes: determining an effective signal-to-noise ratio of a received signal of current user equipment in the wireless communication; acquiring at least one parameter used to correct the effective signal-to-noise ratio; and determining, based on a mapping relationship used to correct the effective signal-to-noise ratio, a corrected signal-to-noise ratio corresponding to the at least one parameter and the effective signal-to-noise ratio.