Data Channel Interference Cancellation Using RU-Based Reconstruction
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Solution Overview
Problem
Current interference cancellation technologies for WCDMA data channels are limited to local implementation and focus on specific aspects, lacking a comprehensive approach to optimize the entire processing flow, which results in suboptimal cancellation efficiency and resource utilization.
Innovation Solution
A method and system that includes bit-level channel recoding, data-channel-based channel estimation, and data channel reconstruction, utilizing a Reconstruction Unit (RU) as a unit for interference cancellation, with all-pipeline bit-level channel recoding, multiplexing antenna data for channel estimation, and selecting paths with larger energy for reconstruction, allowing for efficient interference cancellation and increased resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If local implementation of interference cancellation is used (only reconstruction device or algorithm improvement), then device complexity is reduced, but cancellation efficiency is insufficient
Solution Approach 1:
The patent merges channel recoding, channel estimation, and channel reconstruction into a unified interference cancellation processing flow. The reconstruction device is integrated with the channel processing units to form a coordinated system that jointly optimizes all stages of interference cancellation, thereby improving overall cancellation efficiency while managing system complexity through integrated design.
Solution Approach 2:
The processing flow is designed to handle multiple functions within a unified framework: channel recoding (Turbo coding, rate matching, interleaving), channel estimation (multiplexing antenna data), and channel reconstruction (RU-based reconstruction). This multi-functional integration allows the system to achieve comprehensive interference cancellation across different processing stages without requiring separate dedicated systems for each function.
2Productivity
If comprehensive optimization of entire processing flow is implemented (channel recoding, estimation, and reconstruction), then cancellation efficiency is improved, but device complexity increases
Solution Approach 1:
The comprehensive processing flow is segmented into distinct but coordinated stages: channel recoding module (with Turbo coding, rate matching, interleaving sub-modules), channel estimation module (with antenna data multiplexing), and channel reconstruction module (with RU-based reconstruction). Each segment handles a specific function while maintaining interfaces for coordinated operation, allowing complex processing to be managed through modular segmentation that improves efficiency while controlling complexity.
3Adaptability or versatility
If all-pipeline bit-level channel recoding is used, then resource utilization is improved, but control complexity increases
Solution Approach 1:
The all-pipeline bit-level channel recoding performs preliminary actions by completing the entire recoding process (Turbo coding → rate matching → interleaving) before channel estimation and reconstruction begin. This preliminary completion of recoding operations allows subsequent stages to operate with fully prepared data, improving resource utilization through pipeline parallelism while managing control complexity through sequential stage completion.
4Productivity
If data channel reconstruction is performed with RU as unit, then cancellation efficiency is improved, but processing complexity increases
Solution Approach 1:
The data channel reconstruction is segmented into RU (Resource Unit) based processing blocks. Each RU contains a specific number of resource elements that are processed independently through the reconstruction algorithm. This segmentation allows parallel processing of multiple RUs, improving cancellation efficiency while managing reconstruction complexity through standardized block processing that can be efficiently implemented in hardware or software.
Data Source
AI summary
The disclosure discloses a method for interference cancellation of a data channel. The method includes that: bit-level channel recoding is performed on received transport block data, and then channel estimation is performed on the coded data and multiplexed antenna data of a data channel to obtain channel estimation data; data channel reconstruction is performed on the coded data with a Reconstruction Unit (RU) as a unit by virtue of the channel estimation data; and obtained reconstruction data is subtracted from the antenna data to implement interference cancellation. The disclosure further discloses a system for interference cancellation of a data channel.