Frequency Domain Segmentation for CQI Feedback Accuracy
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Solution Overview
Problem
Existing wireless communication systems face challenges in accurately determining channel quality indicators (CQI) for wireless user equipment (UE) to maximize throughput and reliability, particularly due to the limitations of conventional methods in handling interference and channel quality variations across bandwidth segments.
Innovation Solution
The method involves dividing the bandwidth into frequency segments, determining average spectral efficiency (SPEF) for each segment, selecting the minimum average SPEF, and choosing a CQI hypothesis corresponding to the maximum SPEF, which is then used to generate a robust channel state feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional CQI determination methods are used, then the process is simple, but the accuracy of CQI determination deteriorates due to inability to handle interference and channel quality variations across bandwidth segments
Solution Approach 1:
The bandwidth is divided into multiple frequency segments, and the CQI determination process is segmented into multiple hypotheses. Each hypothesis evaluates different combinations of frequency segments, allowing the system to identify the optimal segment combination for accurate CQI determination while accounting for interference and channel variations across different bandwidth portions.
2Productivity
If the entire bandwidth is considered for CQI determination, then the throughput can be maximized, but the reliability deteriorates due to interference and channel quality variations in certain bandwidth segments
Solution Approach 1:
Different frequency segments are evaluated with different quality metrics (SPEF values). The system identifies segments with optimal local quality characteristics and combines them to form the CQI hypothesis. This allows the system to achieve high throughput by selecting high-quality segments while maintaining reliability by avoiding segments with poor channel conditions or high interference.
3Measurement precision
If frequency domain segmentation is implemented for CQI determination, then the reliability and accuracy improve, but the computational complexity increases
Solution Approach 1:
The system pre-calculates SPEF values for individual frequency segments and stores them as reference data. When determining CQI, the system combines these pre-computed values according to different hypothesis patterns rather than performing complete recalculations. This preliminary action significantly reduces the computational complexity of evaluating multiple CQI hypotheses while maintaining the accuracy benefits of frequency domain segmentation.
Data Source
AI summary
Aspects of the disclosure relate to a wireless user equipment (UE) determining a wideband channel quality indicator (CQI) in a wireless communication network. For each of a plurality of CQI hypotheses, a UE divides a bandwidth into a plurality of frequency segments and determines an average spectral efficiency (SPEF) for each of those segments. Further, for each of the plurality of CQI hypotheses, the UE determines the minimum of the average SPEFs. The UE selects the CQI hypothesis corresponding to the maximum from among these determined minimum average SPEFs, and transmits this selected CQI as a wideband CQI. Other aspects, embodiments, and features are also claimed and described.