Device and method for receiving downlink signal in wireless communication system
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Solution Overview
Problem
Conventional mobile communication systems have limitations in improving Signal-to-Interference-plus-Noise Ratio (SINR) and throughput due to incomplete inter-cell interference cancellation in chip level equalization.
Innovation Solution
The proposed solution involves an iterative inter-cell interference cancellation method and chip level equalization process, where the downlink receiver performs successive interference cancellation and updates the equalization coefficient by prioritizing the serving cell with the strongest signal strength, iteratively removing interference from other cells to enhance SINR.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional chip level equalization is used with channel estimation information of interfering cells, then the equalization process can be implemented, but the inter-cell interference cannot be completely canceled and the SINR improvement is limited
Solution Approach 1:
The patent segments the interference cancellation process into multiple iterative stages. In each iteration, the equalizer processes one cell at a time, generating regenerated samples that are subtracted from the received signal to cancel interference from previously processed cells. This segmentation transforms a single complex equalization problem into multiple simpler sequential processing stages, enabling more complete interference cancellation while managing computational complexity through structured iteration.
Solution Approach 2:
The patent applies preliminary action by performing equalization and interference cancellation in a specific sequence based on signal strength. Cells are processed in descending order of received signal strength, with stronger cells processed first. This preliminary ordering ensures that the most significant interference sources are canceled first, maximizing SINR improvement efficiency. The channel estimation and equalization coefficients are prepared in advance for each cell before the actual interference cancellation occurs.
2Measurement precision
If iterative interference cancellation process is implemented, then the SINR of chip equalization output is improved, but the processing complexity and computational load increase
Solution Approach 1:
The patent implements dynamics by making the equalization process adaptive and iterative rather than static. The equalizer dynamically adjusts its operation across multiple iterations, with each iteration refining the interference cancellation based on regenerated samples from previous iterations. The process continues until convergence or a maximum number of iterations is reached, allowing the system to adaptively achieve optimal SINR improvement while managing computational resources through controlled iteration.
Solution Approach 2:
The patent employs feedback mechanisms where the equalizer generates regenerated samples from equalized signals, which are then fed back into the interference cancellation process. These regenerated samples represent the estimated interference components that are subtracted from the received signal. The feedback loop continues iteratively, with each cycle improving the accuracy of interference cancellation and SINR, while the feedback structure allows the system to converge to an optimal solution without requiring excessive computational resources.
3Productivity
If chip level equalization is performed for multiple cells simultaneously, then all cells can be processed, but the interference cancellation effectiveness is reduced
Solution Approach 1:
The patent segments the multi-cell processing into sequential stages within an iterative framework. Instead of processing all cells simultaneously in a single pass, the equalizer processes cells one at a time in each iteration, maintaining separate equalization paths for each cell. This segmentation allows the system to effectively cancel interference from previously processed cells while maintaining the ability to process multiple cells overall through repeated iterations, thereby achieving both good interference cancellation and complete cell processing.
Solution Approach 2:
The patent ensures continuity of useful action by implementing an iterative process that continuously refines interference cancellation across all cells. Rather than performing a single-pass equalization that must handle all cells at once, the system continuously processes cells in sequence across multiple iterations, with each iteration improving the overall cancellation effectiveness. This continuous iterative action allows the system to maintain high productivity while achieving superior interference cancellation compared to single-pass methods.
Data Source
AI summary
A device and method is provided for iterative inter-cell interference cancellation and channel equalization in the mobile communication system. A downlink receiver of a mobile communication system according to the present invention includes a channel estimator for estimating channel impulse response of a selected cell from channel signals of respective cells; an equalizer for equalizing the channel impulse response output by the channel estimator using an equalization coefficient; a despreader for generating a symbol observation value per code channel by despreading the output of the equalizer with a code of the selected cell; and a cell interference estimator for estimating a symbol signal power and noise power of a data code channel from the symbol observation value and generates the estimated MMSE as a chip level regeneration sample.


