Cell Detection Interference Cancellation for Positioning Accuracy
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Solution Overview
Problem
Wireless communication networks face challenges in detecting cells due to strong interference from nearby cells, which reduces the accuracy of cellular network-based positioning and makes it difficult for user equipment (UEs) to detect common pilots from neighboring cells.
Innovation Solution
Implementing interference cancellation techniques in user equipment (UEs) to estimate and cancel interference from detected cells, allowing UEs to detect pilots from more cells, including weaker ones, by processing received signals and using low reuse pilots with higher reuse factors, which improves hearability and reduces the near-far effect.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If UEs perform cell detection in environments with strong interference from nearby cells, then positioning accuracy can be improved, but detection performance deteriorates due to the near-far effect making it difficult to detect pilots from neighboring cells
Solution Approach 1:
The patent converts the harmful interference from nearby cells into a beneficial signal by using interference cancellation techniques. The UE estimates the interference from detected cells and subtracts it from the received signal, transforming the harmful near-far effect into an opportunity to enhance detection of weaker pilots from neighboring cells, thereby improving positioning accuracy without sacrificing detection performance
Solution Approach 2:
The patent introduces an interference estimation and cancellation mechanism as an intermediary process between signal reception and cell detection. This intermediary step processes the received signal by estimating and removing interference components from detected cells, allowing the UE to subsequently detect pilots from additional cells that would otherwise be obscured by strong nearby cell interference
2Quantity of substance
If UEs detect pilots from more cells including weaker ones, then the number of detectable cells increases, but interference from detected cells worsens detection accuracy
Solution Approach 1:
The patent segments the cell detection process into multiple stages: first detecting strong cells, then estimating and canceling their interference, and finally detecting weaker cells in subsequent iterations. This segmentation allows the system to handle different signal strengths separately, increasing the total number of detectable cells while maintaining detection accuracy through iterative interference removal
Solution Approach 2:
The patent employs feedback by using the detected cells and their channel estimates to generate interference cancellation signals that are subtracted from the received signal. This feedback loop continuously refines the detection process, allowing weaker cells to be detected with improved accuracy as interference from stronger cells is progressively removed
Data Source
AI summary
Techniques for performing cell detection with interference cancellation are described. In an aspect, a user equipment (UE) may detect for pilots from cells in a wireless network using interference cancellation. The UE may process a received signal to detect for pilots from one or more cells. The pilots may be common pilots transmitted with a reuse factor of one or low reuse pilots transmitted with a reuse factor greater than one. The UE may estimate the interference from a detected cell (e.g., the strongest detected cell) and may cancel the estimated interference from the received signal. The UE may then process the interference-canceled signal to detect for pilots from additional cells. The UE may be able to detect pilots from more cells, e.g., from weaker cells, by canceling the interference due to the pilots from the detected cells. This may be desirable for various applications such as positioning.