Iterative Interference Cancellation for Wireless Signal Processing
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Solution Overview
Problem
Current wireless communication systems, particularly in 5G NR technology, face challenges in improving spectral efficiency and reducing power consumption due to noise interference and distortion caused by power amplifiers, especially in massive MIMO scenarios.
Innovation Solution
The implementation of an iterative interference cancelation process at wireless nodes, which involves filtering and decoding wireless signals within a first time window indicated by non-legacy signal processing requirements, allows for more efficient noise mitigation and improved spectral efficiency without increasing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If iterative interference cancelation process is implemented to improve spectral efficiency, then noise interference is mitigated and spectral efficiency is enhanced, but processing time and computational complexity increase
Solution Approach 1:
The patent applies preliminary action by performing interference cancellation in advance during the signal processing pipeline. The receiver proactively identifies and removes interference components from received signals before decoding, using predicted interference patterns based on scheduled resource information. This preliminary interference removal enables faster processing and reduces the time required for subsequent decoding operations.
Solution Approach 2:
The patent segments the signal processing into distinct interference cancellation stages. The processing is divided into multiple iterations where each stage targets specific interference types (e.g., inter-cell interference, intra-cell interference) separately. This segmentation allows the system to process different interference components in an organized manner, improving spectral efficiency while managing computational complexity through structured multi-stage processing.
2Reliability
If iterative interference cancelation process is used to reduce noise interference, then signal quality and reliability improve, but device complexity and power consumption increase
Solution Approach 1:
The patent implements partial action by performing a limited number of interference cancellation iterations rather than exhaustive processing. The system performs just enough iterations to achieve the required signal quality threshold, avoiding unnecessary additional processing. This approach maintains reliability by achieving sufficient interference removal while controlling device complexity by limiting the number of processing iterations.
Solution Approach 2:
The interference cancellation process utilizes self-service by leveraging already-available scheduled resource information and channel state data that the receiver possesses. The system uses its own stored information about scheduled transmissions and channel conditions to generate interference predictions and perform cancellation, eliminating the need for additional complex processing or external assistance.
3Manufacturing precision
If non-legacy signal processing requirements are implemented to extend processing time window, then interference cancelation effectiveness improves, but latency increases
Solution Approach 1:
The patent maintains continuity of useful action by performing interference cancellation operations continuously throughout the extended time window rather than in discrete batches. The receiver continuously processes incoming signals, applying interference cancellation as each signal segment arrives. This continuous processing maximizes the utilization of the extended time window, improving processing precision while minimizing idle time and overall latency.
Data Source
AI summary
Aspects of the disclosure are directed to methods for improving data reliability in a wireless network. In some examples, a wireless node may obtain a wireless signal. In some examples, a wireless node may filter the wireless signal via an iterative interference cancelation process. In some examples, a wireless node may decode the filtered wireless signal, wherein the filtering and decoding are performed within a first time window indicated by a non-legacy signal processing requirement.