Modem Chip Interference Whitening Using Selected PDSCH Samples
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Solution Overview
Problem
Existing interference whitening techniques in new radio communication systems face challenges with low whitening performance due to limited samples for DMRS-based filters and high power consumption and unreliability issues with PDSCH-based filters.
Innovation Solution
A modem chip selects reliable resource elements (REs) from the PDSCH to generate high-accuracy whitening filters using channel estimate matrices and sample selection information, improving interference whitening performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If whitening filters are generated based on DMRS, then the filtering process can be performed, but the whitening performance is low due to a small number of samples
Solution Approach 1:
The patent segments the resource elements into two categories: DMRS resources for initial channel estimation and PDSCH resources for enhanced whitening filter generation. By separating these functions and utilizing the larger pool of PDSCH samples specifically for whitening filter creation, the system overcomes the sample limitation of using only DMRS while maintaining the sequential processing flow.
Solution Approach 2:
The patent performs preliminary channel estimation using DMRS before generating the whitening filter. This preliminary action establishes a foundation that is then enhanced by incorporating additional PDSCH samples, allowing the system to build upon initial estimates rather than starting from scratch, thus improving overall whitening performance.
2Quantity of substance
If whitening filters are generated based on PDSCH, then a large number of samples are available, but the reliability of samples is reduced and power and time consumption increase significantly
Solution Approach 1:
The patent applies local quality by selectively using PDSCH samples rather than treating all samples uniformly. It identifies and utilizes specific portions of PDSCH resources that provide both sufficient quantity and acceptable reliability, rather than indiscriminately using all available PDSCH samples, thus balancing sample quantity with quality.
Solution Approach 2:
The patent employs partial action by using only a portion of the available PDSCH samples for whitening filter generation rather than all samples. This selective approach achieves sufficient sample quantity for improved whitening performance while avoiding the excessive processing burden and reliability degradation that would result from using all PDSCH samples.
3Reliability
If whitening filters are generated based on PDSCH, then more samples are available for filtering, but power consumption and processing time increase significantly
Solution Approach 1:
The patent uses partial action by incorporating only a selected portion of PDSCH samples into the whitening filter generation process. This provides enough additional samples to improve filter accuracy over DMRS-only approaches while avoiding the excessive computational burden and power consumption that would result from processing all PDSCH samples.
Solution Approach 2:
The patent changes the parameter of sample selection by introducing criteria for choosing which PDSCH samples to use. By modifying the selection parameters rather than using all samples, the system achieves improved whitening accuracy while controlling the computational complexity and associated power consumption within acceptable limits.
4Measurement precision
If all PDSCH resource elements are used for whitening filter generation, then the most accurate filter can be obtained, but processing complexity and resource requirements increase
Solution Approach 1:
The patent segments the sample selection process into two stages: initial channel estimation using DMRS and enhanced whitening filter generation using selected PDSCH samples. This segmentation reduces processing complexity by avoiding the need to process all PDSCH samples while still achieving improved filter accuracy through the selective incorporation of additional samples.
Solution Approach 2:
The patent applies partial action by using only a subset of PDSCH samples for whitening filter generation rather than all available samples. This achieves sufficient filter accuracy improvement over DMRS-only methods while keeping processing complexity and resource requirements at manageable levels.
Data Source
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AI summary
A modem chip includes a transceiver that receives a reference signal that is allocated a plurality of first resource elements (REs) and a data signal that is allocated a plurality of second REs, and a processor that generates a first noise plus interference vector, based on the reference signal and a channel estimate matrix, generates a first filter, based on the first noise plus interference vector, the first filter being configured to filter interference noise in the data signal, and generates a plurality of estimate values for data by performing interference filtering on the data signal, based on the first filter. The processor further determines at least one sample RE among the second REs, based on sample selection information, and, based on the at least one sample estimate value corresponding to the at least one sample RE, generates a second filter.