Uplink Precoder Prediction via Matrix Interpolation for Dynamic Channels
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Solution Overview
Problem
Existing wireless communication systems face challenges in maintaining reliable uplink transmissions for mobile devices due to rapid changes in channel conditions, as indicated precoders become outdated quickly, leading to performance degradation and increased resource overhead.
Innovation Solution
The system employs precoder prediction techniques at user equipment (UE) by interpolating or extrapolating precoding matrices and weighting coefficients indicated by the network, allowing the UE to derive suitable precoders for uplink transmissions based on current and future channel conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the network frequently updates precoder indications to mobile devices, then transmission reliability improves, but resource overhead and signaling complexity increase
Solution Approach 1:
The network pre-calculates and provides multiple precoder candidates along with weighting coefficients to the UE in advance. The UE then performs interpolation or extrapolation locally to derive the current precoder, eliminating the need for frequent network updates and reducing signaling overhead while maintaining transmission reliability
Solution Approach 2:
The UE autonomously derives the current precoder by interpolating or extrapolating between provided precoder candidates using weighting coefficients based on timing information. This self-service approach transfers the computational burden from the network to the UE, reducing network resource overhead while ensuring reliable transmissions
2Quantity of substance
If the network updates precoder indications less frequently, then resource overhead decreases, but transmission reliability deteriorates due to outdated precoders
Solution Approach 1:
The network provides multiple precoder candidates corresponding to different time instances in advance, enabling the UE to select or derive the appropriate precoder for the current transmission time through interpolation or extrapolation, thus maintaining reliability without frequent updates
Solution Approach 2:
The system dynamically adapts the precoder selection by using timing information to determine whether to interpolate or extrapolate between precoder candidates, allowing the UE to track time-varying channel conditions effectively even with infrequent network updates
3Adaptability or versatility
If the system uses complex precoder derivation methods, then adaptability to dynamic channel conditions improves, but device complexity increases
Solution Approach 1:
The UE creates intermediate precoder solutions by copying and combining existing precoder candidates through interpolation or extrapolation using weighting coefficients, rather than performing complex optimization calculations, thus achieving adaptability with reduced processing complexity
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a control message indicating at least two precoding matrices and a set of weighting coefficients. The at least two precoding matrices and the set of weighting coefficients may be indicated to the UE for deriving a precoder for uplink transmission from the at least two precoding matrices. The UE may derive the precoder for transmission of an uplink message based on interpolating or extrapolating the at least two precoding matrices using the set of weighting coefficients. The UE may transmit the uplink message. The uplink message may be precoded using the precoder.