Link Performance Abstraction in Wireless Receivers
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Solution Overview
Problem
Current wireless communication systems employing Interference-Aware Communications (IAC) technology face challenges in accurately estimating link performance due to the complexity of interference conditions, particularly in strong interference scenarios, where conventional methods fail to provide reliable Block Error Rate (BLER) predictions for link adaptation.
Innovation Solution
The proposed method involves a receiving apparatus that splits and post-processes Orthogonal Frequency Division Multiplexing (OFDM) signals over spatial layers, deriving post-processing Signal-to-Interference-plus-Noise Ratio (SINR) and converting it to Mutual Information per coded Bit (MIB) adaptively tuned based on the instantaneous Interference-to-Signal Ratio (ISR), enabling accurate BLER estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional link performance abstraction methods are used in strong interference scenarios, then the system maintains simple processing, but BLER prediction accuracy deteriorates
Solution Approach 1:
The received signal is segmented and processed separately for each spatial layer. The SINR extraction is performed layer-by-layer, allowing the system to handle complex interference conditions by breaking down the overall processing into manageable per-layer operations while maintaining high BLER prediction accuracy
Solution Approach 2:
The MIB metric is adaptively tuned based on instantaneous interference conditions (ISR). The combining parameter varies dynamically according to the current interference level, enabling the system to maintain high prediction accuracy across different interference scenarios without requiring overly complex fixed-structure processing
2Measurement precision
If the MIB metric is adaptively tuned based on instantaneous ISR, then BLER estimation accuracy improves, but computational complexity increases
Solution Approach 1:
The MIB metric parameters are changed adaptively based on the instantaneous ISR. By adjusting the combining parameter according to interference conditions, the system achieves high BLER estimation accuracy while avoiding the need for completely complex computational structures, thus managing computational energy efficiently
3Reliability
If post-processing SINR is derived for each spatial layer, then link adaptation performance improves, but processing time increases
Solution Approach 1:
The signal processing is segmented into per-spatial-layer operations for SINR derivation. This segmentation allows the system to maintain reliable link adaptation performance by treating each layer independently while managing processing time through efficient layer-by-layer computation rather than exhaustive joint processing
Data Source
AI summary
A method and an apparatus for link performance abstraction for a receiver employing Interference-Aware Communications (IAC) technology in a wireless communication system are provided. A method for operating a receiving apparatus for the link performance abstraction in the wireless communication system, includes receiving an Orthogonal Frequency Division Multiplexing (OFDM) over a plurality of spatial layers, splitting and post-processing the received signal based on the spatial layers, deriving a post-processing Signal-to-Interference-plus-Noise Ratio (SINR) of each spatial layer, converting the post-processing SINR of the spatial layers to a Mutual Information per coded Bit (MIB) adaptively tuned based on an instantaneous Interference-to-Signal Ratio (ISR), and estimating a Block Error Rate (BLER) from a mean of the MIB metrics of the spatial layers.