PRG-Based Interference Rejection Combining for 5G Covariance Estimation
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Solution Overview
Problem
Interference from neighboring cells in wireless communication systems, particularly in 5G networks, limits the ability to achieve higher modulation due to the lack of accurate interference covariance matrix estimation across interferer precoding resource groups (PRGs), leading to degraded performance in interference rejection combining (IRC).
Innovation Solution
The implementation of precoding resource group (PRG) parameters for improved interference rejection combining, where network nodes share and utilize PRG parameters such as size and offset to enhance interferer covariance estimation, enabling better signal quality by accounting for PRG boundaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If interference rejection combining is performed without accurate interferer covariance matrix estimation across precoding resource groups, then the system can operate with simpler processing, but the signal quality and modulation performance are degraded due to inaccurate interference estimation
Solution Approach 1:
The patent segments the frequency spectrum into precoding resource groups (PRGs) and performs interference covariance matrix estimation separately for each PRG boundary. This segmentation allows accurate interference estimation by considering PRG-specific characteristics while maintaining manageable processing complexity through localized estimation operations rather than full-bandwidth processing.
2Productivity
If the system uses higher modulation schemes to increase data rate, then productivity improves, but interference from neighboring cells degrades performance due to insufficient interference rejection capability
Solution Approach 1:
The patent implements feedback mechanisms where the UE measures interference characteristics within PRG boundaries and reports this information to the network. The network uses this feedback to adjust precoding and resource allocation, creating a closed-loop system that maintains high modulation schemes while compensating for interference through informed network decisions.
3Measurement precision
If interference covariance matrix estimation is performed across entire bandwidth without considering PRG boundaries, then processing is simpler, but measurement precision deteriorates due to lack of PRG-specific interference characteristics
Solution Approach 1:
The patent divides the bandwidth into multiple PRG segments and performs interference covariance matrix estimation for each segment independently. This segmentation improves measurement precision by capturing PRG-specific interference characteristics while limiting processing time through parallel or sequential estimation of smaller segments rather than processing the entire bandwidth as a single unit.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive an indication of one or more precoding resource group (PRG) parameters associated with a network node. The UE may perform, using the one or more PRG parameters, interference rejection combining. Numerous other aspects are described.