Interference Cancellation for Small Cell Signal Reception
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Solution Overview
Problem
The addition of small cells in next-generation mobile communication systems exacerbates inter-cell interference, which existing technologies struggle to effectively mitigate, impacting signal reception performance.
Innovation Solution
A method for interference cancellation that involves removing cell-specific reference signals from serving and interfering cells, comparing signal strengths, and prioritizing the removal of data signals based on collision detection to improve reception performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If small cells are added to extend coverage, then coverage area is improved, but inter-cell interference increases
Solution Approach 1:
The patent converts the harmful inter-cell interference into a beneficial signal by using interference cancellation techniques. The receiver estimates the interfering signals from neighboring cells and subtracts them from the received signal, thereby converting the interference into a cancelable component that improves overall signal reception quality.
Solution Approach 2:
The patent introduces an intermediary processing stage between signal reception and data decoding. This intermediary stage performs interference estimation and cancellation operations, acting as a mediator that removes the harmful interference component before the main signal processing begins.
2Reliability
If interference cancellation is performed, then signal reception performance is improved, but processing complexity increases
Solution Approach 1:
The patent performs preliminary actions by estimating and preparing cancellation signals before the main data decoding process. The interference estimation is performed in advance using reference signals, and the cancellation operations are prepared in order, reducing the computational burden during actual data reception.
Solution Approach 2:
The patent segments the interference cancellation process into distinct stages: reference signal reception, interference estimation, signal cancellation, and data decoding. This segmentation allows each stage to be optimized independently and reduces overall processing complexity by breaking down the complex task into manageable steps.
Data Source
AI summary
One disclosure of the present specification provides a method for receiving interference cancellation. The method for receiving interference cancellation can comprise: a step for cancelling, in signals received from a serving cell, cell-specific reference signals (CRS) from the serving cell, the CRS from a first primary interference cell, and the CRS from a second primary interference cell; a step for comparing the signal size of the serving cell, the signal size of the first primary interference cell, and the signal size of the second primary interference cell; a step for determining whether the CRS of the serving cell conflicts with the CRS of the first primary interference cell or the CRS of the second primary interference cell; and a step for canceling, when it is determined that the CRS' conflict with one other, data signals from the first primary interference cell and data signals from the second primary interference cell in the signals where the CRS are cancelled in the order determined according to the size comparison of signals.