Wireless Chipset Interference Whitening via Reference Signal Grouping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In LTE wireless communication systems, synchronization differences among transmitted signals from base stations can lead to inaccurate interference measurement, resulting in severe reception performance degradation due to interference signals not synchronized, which existing interference whitening schemes fail to address effectively.
Innovation Solution
The proposed solution involves a chipset configured to detect interference characteristics of neighbor cells by grouping reference signals based on time and frequency divisions, allowing for interference whitening operations that account for synchronization differences, thereby improving interference mitigation in wireless communication systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If interference measurement is performed on a sub-frame basis like in the LTE interference whitening scheme, then the measurement process is simple and follows existing standards, but the measured interference becomes inaccurate when synchronization difference among transmitted signals of BSs is equal to or greater than several symbols
Solution Approach 1:
The reference signal region is divided into multiple groups based on time and frequency resources. Each group corresponds to a specific synchronization hypothesis, allowing the system to segment the interference measurement process into multiple targeted measurements rather than a single bulk measurement, thereby improving accuracy without significantly increasing complexity
Solution Approach 2:
The system changes the measurement parameters by testing multiple synchronization hypotheses (different time offsets and frequency shifts) instead of assuming a fixed synchronization state. This allows the interference measurement to adapt to actual synchronization conditions, resolving the accuracy issue while maintaining implementation feasibility
2Device complexity
If interference whitening is performed without considering synchronization differences, then the processing complexity is low, but severe reception performance degradation occurs due to interference signals not synchronized
Solution Approach 1:
The system performs preliminary synchronization hypothesis testing and reference signal grouping before the actual interference whitening process. By pre-organizing reference signals according to different synchronization scenarios, the main processing stage can select the appropriate grouping without complex real-time analysis, thus improving reliability while controlling overall complexity
Solution Approach 2:
Reference signal groups act as an intermediary structure between the raw received signal and the interference whitening processor. These groups organize the reference signals according to synchronization hypotheses, serving as a bridge that enables accurate interference estimation without requiring the main processor to handle raw unsynchronized signals directly
3Ease of operation
If reference signals are not grouped by synchronization characteristics, then the measurement process is straightforward, but interference characteristics cannot be accurately detected when synchronization difference exists
Solution Approach 1:
Reference signals are segmented into distinct groups based on their synchronization characteristics (time offset and frequency shift). Each group contains reference signals that share the same synchronization hypothesis, making it easier to measure interference for each group separately while maintaining overall process simplicity through structured organization
Solution Approach 2:
The system applies different measurement approaches to different reference signal groups based on their local synchronization characteristics. Each group is measured with assumptions tailored to its specific synchronization state, improving detection accuracy for each local group while maintaining overall measurement simplicity through this localized approach
Data Source
AI summary
A chipset is provided. The chipset is configured to detect an interference characteristic of a neighbor cell corresponding to groups and perform an interference whitening operation based on the interference characteristic. The groups are generated by dividing a time interval occupied by a first reference signal region by dividing a frequency band occupied by the first reference signal region, or by dividing a time interval occupied by a second reference signal region. A frequency band occupied by the second reference signal region is wider than the frequency band occupied by the first reference signal region.


