Wireless Receiver Equalizer Updates Based on Channel Change Thresholds
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Solution Overview
Problem
The high computational cost of computing and updating equalizer coefficients in wireless communications receivers, particularly for MIMO channels with many taps, is a significant challenge due to the frequent need for recalculating coefficients in dynamic wireless environments.
Innovation Solution
An equalization parameter analyzer compares current and previous parameters to determine if a change exceeds a predefined threshold, initiating the generation of new equalizer coefficients only when necessary, thereby reducing unnecessary computations and conserving resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If equalizer coefficients are computed frequently to maintain system performance, then reliability is improved, but use of energy increases and productivity decreases
Solution Approach 1:
The system dynamically adjusts the equalizer coefficient update frequency based on channel condition changes. Instead of fixed periodic updates, the system monitors parameter changes and triggers updates only when necessary, making the update mechanism adaptive to actual channel conditions rather than operating on a rigid schedule
Solution Approach 2:
The system changes the update trigger condition from time-based to parameter-change-based. By monitoring whether channel parameters exceed a threshold change from previous values, the system transforms the update mechanism from periodic to event-driven, reducing unnecessary updates when channel conditions are stable
2Reliability
If equalizer coefficients are computed frequently to maintain system performance, then reliability is improved, but productivity decreases
Solution Approach 1:
The system dynamically adjusts the equalizer coefficient update frequency based on channel condition changes. Instead of fixed periodic updates, the system monitors parameter changes and triggers updates only when necessary, making the update mechanism adaptive to actual channel conditions rather than operating on a rigid schedule
Solution Approach 2:
The system changes the update trigger condition from time-based to parameter-change-based. By monitoring whether channel parameters exceed a threshold change from previous values, the system transforms the update mechanism from periodic to event-driven, reducing unnecessary updates when channel conditions are stable
3Adaptability or versatility
If the number of equalizer coefficients is increased to handle MIMO channels, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system segments the equalizer coefficient computation into independent per-antenna pairs. Each antenna pair's coefficients are computed and updated independently based on its specific channel conditions, allowing the system to handle MIMO channels with many coefficients while managing complexity through modular, independent processing units
Solution Approach 2:
The system dynamically determines which coefficient sets need updating based on individual channel parameter changes for each antenna pair. Instead of updating all coefficients simultaneously, only the affected subsets are refreshed, reducing the effective computational complexity while maintaining adaptability to MIMO channel variations
Data Source
AI summary
An equalization parameter analyzer includes a parameter section configured to acquire at least one current parameter for a wireless receiver and an analyzer section configured to compare the at least one current parameter with at least one corresponding previous parameter. Additionally, the equalization parameter analyzer also includes a coefficients section configured to initiate a generation of new equalizer coefficients in the wireless receiver based on a change between the at least one current and corresponding previous parameters that exceeds a predefined threshold. A method of equalization coefficients generation is also provided.


